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    Transmit code design for extended target detection in the presence of clutter

    , Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 19 April 2014 through 24 April 2014 ; Volume 2015-August , April , 2015 , Pages 3921-3925 ; 15206149 (ISSN) ; 9781467369978 (ISBN) Karbasi, S. M ; Naghsh, M. M ; Bastani, M. H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    In this paper, we consider the problem of transmit code design to optimize the detection probability of an extended target embedded in Gaussian signal-dependent interference. We model the target with a priori known target impulse response (TIR) structure along with an unknown reflection factor. As is known, the performance of the generalized likelihood ratio test (GLRT) detector, for the case at hand, monotonically increases with the signal-to-interference-plus-noise ratio (SINR). Hence, we deal with the code design problem via maximizing the SINR. We also enforce a peak-to-average power ratio (PAR) constraint on the sought code. We devise a cyclic method to tackle the highly non-convex... 

    Optimal working conditions of various city gate stations for power and hydrogen production based on energy and eco-exergy analysis

    , Article International Journal of Hydrogen Energy ; Volume 45, Issue 43 , September , 2020 , Pages 22513-22533 Kowsari, S ; Deymi Dashtebayaz, M ; Karbasi, K ; Sheikhani, H ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    In this study, the feasibility of producing power and hydrogen from the waste heat of different City Gate Stations (CGSs) is investigated to select the optimal working conditions. A thermodynamic model is developed for a proposed system combined of the CGS station, the Rankin cycle and the extended hydrogen production cycle. Initially, six CGS stations are simulated based on energy, exergy-economic and environmental analysis and then a comparative study is conducted between different stations. The results of numerical modeling show that the Mashhad-old station with 5315 kW and 31.062 ton/year has the highest amount of power and hydrogen production among other stations, respectively. It is... 

    Joint likelihood estimation and model order selection for outlier censoring

    , Article IET Radar, Sonar and Navigation ; Volume 15, Issue 6 , 2021 , Pages 561-573 ; 17518784 (ISSN) Karbasi, S. M ; Sharif University of Technology
    John Wiley and Sons Inc  2021
    Abstract
    This study deals with the problem of outlier censoring from the secondary data in a radar scenario, where the number of outliers is unknown. To this end, a procedure consisting of joint likelihood estimation and statistical model order selection (MOS) is proposed. Since the maximum likelihood (ML) estimation of the outlier subset requires to solve a combinatorial problem, an approximate ML (AML) method is employed to reduce the complexity. Therefore, to determine the number of outliers, different MOS criteria based on likelihood function are applied. At the analysis stage, the performance of the proposed methods is assessed based on simulated data. The results highlight that the devised... 

    Angle-incremental range estimation for FDA-MIMO radar via hybrid sparse learning

    , Article Digital Signal Processing: A Review Journal ; Volume 130 , 2022 ; 10512004 (ISSN) Karbasi, S. M ; Sharif University of Technology
    Elsevier Inc  2022
    Abstract
    In this paper, a target parameter estimation problem is addressed for the recently emerging frequency diverse array multiple-input multiple-output (FDA-MIMO) radar system, utilizing sparse learning. The scene is modeled as a two dimensional (2D) angle-incremental range grid. To solve the resulting sparse problem, the recently proposed user-parameter free algorithms including block sparse learning via iterative minimization (BSLIM), iterative adaptive approach (IAA), sparse iterative covariance-based estimation (SPICE), likelihood-based estimation of sparse parameters (LIKES), and orthogonal matching pursuit (OMP) are applied which achieve excellent parameter estimation performance. However,... 

    Experimental investigation of poly-β-hydroxybutyrate production by azohydromonas lata: Kinetics and artificial neural network modeling

    , Article Chemical Engineering Communications ; Volume 203, Issue 2 , 2016 , Pages 224-235 ; 00986445 (ISSN) Karbasi, F ; Younesi, H ; Ardjmand, M ; Safe Kordi, A ; Yaghmaei, S ; Qaderi, H ; Sharif University of Technology
    Taylor and Francis Ltd  2016
    Abstract
    Batch culture of Azohydromonas lata was investigated for the production of intracellular poly-b-hydroxybutyrate (PHB). In order to determine the C:N value of the culture media for maximizing the microbial productivity of PHB, different concentrations of glucose and ammonium chloride were used as carbon and nitrogen sources, respectively. The optimal temperature and shaking rate was obtained at 30_C and 180 rpm, respectively. The maximum intracellular PHB concentration obtained was 5.09 g/l, which was 20% (w/w) of the cell dry weight (CDW) after 72 h. Also, the synthesis of PHB was growth associated with the C:N ratio of 153.71. The maximum calculated Yp/s was 0.212 (gr/gr) and the specific... 

    Optimal MIMO waveform design with controlled characteristics

    , Article Proceedings International Radar Symposium, 24 June 2015 through 26 June 2015 ; Volume 2015-August , 2015 , Pages 1141-1146 ; 21555753 (ISSN) ; 9783954048533 (ISBN); 9783954048533 (ISBN); 9783954048533 (ISBN) Karbasi, S. M ; Radmard, M ; Nayebi, M. M ; Bastani, M. H ; Rohling, H ; Rohling, H ; Rohling, H ; Sharif University of Technology
    IEEE Computer Society  2015
    Abstract
    In a MIMO (Multiple Input Multiple Output) radar system, proper design of transmit signal and receive filter is an advantageous tool to improve the detection performance. Thus, in this paper, we consider the problem of transmit code and receive filter design, in order to maximize the Signal to Noise Ratio (SNR) at the receiver while enforcing a similarity constraint between the transmit space-time code (STC) and a reference STC which has a desirable ambiguity function. We will show that by solving such constrained optimization problem through successive iterations, our proposed method leads to satisfactory results  

    Investigation of optimum fermentation condition for PHA production by four species: Hydrogenophaga pseudoflava DSMZ 1034, azohydromonas lata DSMZ 1123, cupriavidus necator DSMZ 545, Azotobacter beijinckii DSMZ 1041

    , Article World Applied Sciences Journal ; Volume 14, Issue SPL ISS 3 , 2011 , Pages 36-47 ; 18184952 (ISSN) Karbasi, F ; Ardjmand, M ; Yunesi, H ; Safe Kordi, A ; Yaghmaei, S ; Sharif University of Technology
    2011
    Abstract
    Batch cultures of Azohydromonas lata DSMZ 1123, Hydrogenophaga pseudoflava DSMZ 1034, Cupriavidus necator DSMZ 545 and Azotobacter beijinckii DSMZ 1041 were investigated for producing the intracellular bioplastic poly-•-hydroxybutyrate (PHB). The effects of temperature, seed age, type of carbon sources and the agitation rate on the production rate of PHB were investigated using four mentioned spices. The optimized shaking rate, temperature and seed age were obtained 250 rpm, 30°C and 15 hrs for H. pseudoflava DSMZ 1034 and A. beijerinckii DSMZ 1041 and 18 hrs and 24 hrs for A. lata DSMZ 1123 and C. necator DSM 545, respectively.The effect of carbon sources including glucose, fructose, whey... 

    Distributed Optimal Control Based on an Efficient Method for Communication

    , M.Sc. Thesis Sharif University of Technology Karbasi, Ali (Author) ; Farhadi, Alireza (Supervisor)
    Abstract
    This thesis is concerned with an optimal trade-off between communication overhead and the number and size of neighborhoods in a distributed optimal control technique for large-scale systems that is based on the Jacobi iteration and two-layer architecture for communication. Although this method efficiently reduces computational overhead, continuous and proper data transfer between subsystems that are very often far from each other, is required to achieve an acceptable performance. However, limited transmission bandwidth and short communication range result in significant communication overhead. This causes significant time latency between measurement and applied calculated control actions,... 

    Combined Wrist and Forearm Movement Recognition using sEMG

    , M.Sc. Thesis Sharif University of Technology Karbasi, Hamed (Author) ; Jahed, Mehran (Supervisor)
    Abstract
    Physiotherapy is a major part of the rehabilitation process that is used to retrieve patients' physical ability. The recuperation feedback in the physiotherapy process has a twofold significance for both physiotherapists and patients. It helps patients regain their ability to recover more quickly, prevent recurrence of injury to the treated area and other areas, and motivate the patient to continue treatment. It also helps the physiotherapist to monitor the process of rehabilitation and ensure the correctness of the procedure. Meanwhile, many patients cannot maintain continuous workouts due to lack of access to the physiotherapist at home and inability to provide required feedback.In this... 

    Introducing a novel SEMG ANN-based regression approach for elbow motion interpolation

    , Article 4th IEEE International Conference on Computer and Communication Systems, ICCCS 2019, 23 February 2019 through 25 February 2019 ; 2019 , Pages 77-80 ; 9781728113227 (ISBN) Karbasi, H ; Jahed, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    Surface electromyogram (sEMG) signals are extensively used for rehabilitation and control purposes. However due to their intrinsic complexities and intense sensor crosstalk, feature classification and pattern recognition of sEMG signals especially for motion analysis are quite challenging. This study proposes a versatile sEMG Artificial Neural Network based regression approach to evaluate a simple elbow motion with respect to a reference frame. The proposed approach attempts to appropriately interpolate intermediate position angles in an attempt to evaluate and substantiate a continuous motion of the forearm. Results show that based on the proposed algorithm, with a correlation of about 91%... 

    A cyber-physical system for building automation and control based on a distributed MPC with an efficient method for communication

    , Article European Journal of Control ; Volume 61 , 2021 , Pages 151-170 ; 09473580 (ISSN) Karbasi, A ; Farhadi, A ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    This paper introduces a cyber-physical system for building automation and control that is developed based on a distributed model predictive control. The implemented distributed method significantly reduces computation overhead with respect to the centralized methods. However, continuous data transfer between subsystems, which are often far from each other, is required when using this method. Information transmission between subsystems is very often subject to the limitations of transmission bandwidth and/or short communication range resulting in significant communication overhead. This causes significant time latency between making measurements and applying control commands, which adversely... 

    Outlier Censoring Based on Sparse Signal Recovery Algorithms

    , M.Sc. Thesis Sharif University of Technology Bassak, Elaheh (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    In today’s world, knowledge of the statistical behavior of noise can tremendously affect the accuracy of target detection in radar systems. Therefore, radar systems commonly collect a secondary dataset of homogeneous noise and estimate the statistics of the gathered data, prior to attempting target detection. Specifically, in the case of Gaussian noise with a mean of zero, the entire statistical information of the noise is encoded in its covariance matrix. In practice, however, the challenge is that the training samples do not purely contain homogeneous noise. In fact, some samples contain non-homogeneous outlier signals that do not have the same distribution as the noise samples. In this... 

    Waveform Design for Interference Mitigation in SAR Imaging and Sparse Image Recovery

    , M.Sc. Thesis Sharif University of Technology Keyhani, Erfan (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    In this research, we design a compatible waveform for the purpose of high-quality synthetic aperture radar (SAR) imaging in conjunction with sparse recovery methods for image formation. The goal is to make the imaging system tolerable against the wide-band and narrowband electromagnetic interferences. Actually, we consider minimizing the mutual interference between our radar and coexisting licensed emitters and minimizing the jamming signal (unlicensed emitters) power while enforcing some constraints over the waveform features like peak-to-average-power ratio (PAPR). For the constrained optimization problem to design a proper waveform, we introduce a new constraint to the optimization... 

    Range-Doppler Map Generation in the Presence of Sparse Clutter for Multistatic Radar

    , M.Sc. Thesis Sharif University of Technology Haghighat, Soheil (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    Multistatic radar has several advantages over monostatic radar (such as better detection), which are due to the use of different viewing angles and the difference in their clutter characteristics. Clutter in many applications (such as marine applications) has the property of being sparse in certain dictionaries. Therefore, the investigation of sparse clutter (such as sea clutter) is of particular importance. It is worth noting that the detection of targets in the vicinity of the sea faces difficulties due to the dynamics of the sea, which causes the Doppler spectrum to change with time and change in space. Considering the fact that the sea clutter is sparse clutter, one of the powerful... 

    Knowledge-based design of space-time transmit code and receive filter for a multiple-input-multiple-output radar in signal-dependent interference

    , Article IET Radar, Sonar and Navigation ; Volume 9, Issue 8 , 2015 , Pages 1124-1135 ; 17518784 (ISSN) Karbasi, S. M ; Aubry, A ; Carotenuto, V ; Naghsh, M. M ; Bastani, M. H ; Sharif University of Technology
    Institution of Engineering and Technology  2015
    Abstract
    The authors deal with the robust design of multiple-input-multiple-output (MIMO) space-time transmit code (STTC) and space-time receive filter (STRF) for a point-like target embedded in signal-dependent interference. Specifically, they assume that the radar exploits knowledge provided by dynamic environmental database, to roughly predict the actual scattering scenario. Then, they devise an iterative method to optimise the (constrained) STTC and the (constrained) STRF which sequentially improves the worst-case (over interfering scatterers statistics) signal-to-interference-plus-noise ratio (SINR). Each iteration of the algorithm is handled via solving two (hidden) convex optimisation... 

    MIMO ambiguity function optimization through waveform design

    , Article Proceedings International Radar Symposium, 24 June 2015 through 26 June 2015 ; Volume 2015-August , 2015 , Pages 333-338 ; 21555753 (ISSN) ; 9783954048533 (ISBN); 9783954048533 (ISBN); 9783954048533 (ISBN) Radmard, M ; Majd, M. N ; Chitgarha, M. M ; Karbasi, S. M ; Nayebi, M. M ; Rohling, H ; Rohling, H ; Rohling, H ; Sharif University of Technology
    IEEE Computer Society  2015
    Abstract
    An important tool for assessing a radar's performance is the ambiguity function. On the other hand, many different schemes have been designed for the transmit waveforms of a MIMO radar. For each one, a criterion has been chosen to improve the performace, e.g. achieving better missed detection. In this paper, considering the ambiguity function as the benchmark, we propose a waveform design scheme, which optimizes the ambiguity function of the MIMO radar system  

    Design, Manufacturing and Testing a Micro Hydro Turbine Governor Using Commercial Controller

    , M.Sc. Thesis Sharif University of Technology Karbasi Zadeh, Morteza (Author) ; Durali, Mohammad (Supervisor)
    Abstract
    Lots of micro hydropower potentials are spread all around Iran country. They have the capability to produce electricity for workhouses, residential areas, agricultural and animal husbandries and recreational tourism centers. Hence, Sharif University of Technology and Iran Water and Power Resources Development Corporation decided to design and produce three types of hydro micro turbines to cover all range of micro hydropower potentials available in Iran. These three types of micro turbines are Pelton, Banki and Axial and they are designed in order to cover high, middle and low heads in sequence. Frequency control of micro hydropower plants is so vital due to plant off-grid. The most prevalent... 

    Design of Transmit Code & Receive Filter in Radar Via Manifold Optimization

    , M.Sc. Thesis Sharif University of Technology Attar Hamidi, Farzin (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    The problem of joint design of transmit code and receive filter is considered in many application scenarios of multiple input multiple output (MIMO) radar systems. The performance of the joint design problem is evaluated with the signal-to-interference ratio (SINR) metric in the presence of noise. In such problems, the optimization problem is to maximize SINR on the receiver side with the constraints that are applied on the transmitted waveform. Our proposed method, RTR, is a manifold-based geometric method that performs better than the SDP method in terms of algorithm execution speed and calculation complexity. For simulation, we took sampled and real TIR with Target Aspect Angle (TAA) in a... 

    The Super Resolution Algorithm Based on Attributed Scattering Model Using Multi-Band and Multi-Angle Signals

    , M.Sc. Thesis Sharif University of Technology Seyedin, Mohammad Bagher (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    The resolution is one of the most essential factors in radar imaging. The range and cross-range resolution are inversely proportional to the radar bandwidth and the angular width, respectively. Increasing the bandwidth requires upgrading the hardware of radars and the cost of this procedure is high. Also, to increase the angular width, we need more time to scan the scene from different angles but due to reasons such as movements of targets in the scene, it is unachievable.According to these limitations, we can utilize some signal processing techniques to Improve the radar resolution. Super resolution algorithms are the common approaches to achieving this goal. In this research, we proposed a... 

    RIS-Aided DOA Estimation and Localization

    , M.Sc. Thesis Sharif University of Technology Shourezari, Ehsanollah (Author) ; Karbasi, Mohammad (Supervisor)
    Abstract
    Estimating the direction of arrival (DOA) of an impinging signal from an RF scattering object, and subsequently determining its location when there is no line-of-sight (LOS) channel between the object and receiver, is a challenging issue in sensing and wireless communication systems. This thesis presents a modified multiple signal classification (MUSIC) algorithm, utilizing a single-element receive antenna and harnessing the capabilities of reconfigurable intelligent surfaces (RIS) to tackle this issue. It is demonstrated that by leveraging massive low-cost passive elements able to reflect signals with different phase shifts in consecutive snapshots, RIS can generate linearly independent...