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pezeshk--amir-mansour
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RF Signal Sampling using Compress Sensing and its Implementation on FPGA
, M.Sc. Thesis Sharif University of Technology ; Pezeshk, Amir Mansour (Supervisor)
Abstract
Analog-to-digital conversion and signal processing has been increasing due to its many advantages. So that mostly we prefer to convert signal from analog area to digital samples, then they are processed and finaly put the result signal at the system output. How ever because the restriction of the sampling rate, Prevent the spread of digital processing for the high-frequency signal (RF). In recent years, ADCs sampling rate rise up to several GHz (for example ADC with 4 GSPS and 12 bits for TI) that output of the these ADCs by powerful and fast FPGAs are processed but According to Shannon theorem band width of these ADCs is not desirable.the goal of this thesis uses of the compressed sensing...
Automatic Intra Pulse Modulation Recognition of RF Signal with FPGA Implementation
, M.Sc. Thesis Sharif University of Technology ; Pezeshk, Amir Mansour (Supervisor)
Abstract
Automatic modulation recognition is an improving area in signal processing that has been interest of research institutes in recent years. Every signal intelligence system consists of three parts: Front, middle prcessing, Output. which Automatic recognition system is in the middle processing. Vast researches has been done on front and output section. By the way output section demands proper work by modulation recognition section in order to work appropriately. With the right knowledge of the receiving modulation, output section can jam or demodulate the receiving signal by demand. Intrapulse modulation in this research is the meaningful variation of frequency, amplitude or phase of a signal....
Exploiting Bandpass Sampling and Compressed Sensing Alghorithms for RF to Digital Direct Conversion
, M.Sc. Thesis Sharif University of Technology ; Tabandeh, Mahmoud (Supervisor) ; Pezeshk, Amir Mansour (Co-Advisor)
Abstract
The target of reconnaissance receivers is to detect radio frequencies and pulses present in the environment and extracting their characteristics. To receive the signals in the range of 2 to 18 GHz, different receptors can be used. Each receptor has its specific aplications, advantages and disadvantages. In this project, we proposed a receptor scheme with the following features: 1-simple hardware, 2-ability to detect simultaneous signals, 3-hundred percent probability of intercept (POI), 4-high input bandwidth and 5-rapid threat detection. To have such a receptor, we should move data processing parts of receptor to digital domain as much as possible, and reduce the amount of analog...
Efficient Implementation of Direction Finding of Radar Targets Using Artificial Intelligance Techniqes
, M.Sc. Thesis Sharif University of Technology ; Sanaei, Esmaeel (Supervisor) ; Pezeshk, Amir Mansour (Supervisor)
Abstract
There are many methods for direction finding (DF) of radar targets, while the complexity and time elapsed calculation are their main drawbacks, thus the real time implementation of this methods are difficult. Artificial neural network (ANN) for DF is one of the optimum and good ways to implementation that have better result versus other techniques. In this thesis, direction finding problem for radar targets by using artificial neural networks have been studied. A new method is presented to detect the multiple targets simultaneously, that it can be implemented in digital form easily. Here one-dimensional DF by using uniform linear array (ULA) discussed and formulated, then the proposed...
Digital Modulation Recognition of Communication Signals
, M.Sc. Thesis Sharif University of Technology ; Pezeshk, Amir Mansour (Supervisor) ; Behnia, Fereidoon (Co-Advisor)
Abstract
Modulation Recognition of communication signals has been an important theme in the field of wireless communication. Modulation Recognition has various applications for both military and civil purposes. Recently there has been considerable attention to Digital Modulation Recognition, due to the vast application of this kind of Modulation Recognition tasks. In this thesis, we proposed a Digital Modulation Recognition Algorithm, which is able to identify various types of digital modulations in low SNRs. These include BASK, BFSK, BPSK, 4-ASK, 4-FSK, 4-PSK, 8-FSK, 8-PSK, MQAM (M=16, 32, 64). The proposed method uses a general pattern recognition scheme, consisting of a feature extraction phase...
Design and Digital Simulation of New Method for Deinterleaving Radar Complex Signals
,
M.Sc. Thesis
Sharif University of Technology
;
Pezeshk, Amir Mansour
(Supervisor)
;
Farzaneh, Forouhar
($item.subfieldsMap.e)
Abstract
It is generally accepted that Electronic Warfare has three distinct components: (1) electronic support (ES), (2) electronic attack (EA), and (3) electronic protect (EP). ES is included those measures taken to collect information about an adversary by intercepting radiated emissions. EA refers to attempting to deny adversaries access to their information by radiating energy into their receivers. EP includes activities under taken to prevent an adversary from successfully conducting ES or EA on friendly forces.
The function of Electronic Support Measurement (ESM) System is considered as a part of the first component (i.e. ES). After receiving emitted signals from various radars by ESM...
The function of Electronic Support Measurement (ESM) System is considered as a part of the first component (i.e. ES). After receiving emitted signals from various radars by ESM...
Optimization on TDOA-Based Localization and its Feasibility Study
,
Ph.D. Dissertation
Sharif University of Technology
;
Haj Sadeghi, Khosrow
(Supervisor)
;
Pezeshk, Amir Mansour
(Co-Advisor)
Abstract
In this thesis, the problem of locating a source based on the time difference of arrival (TDOA) has been studied and three different methods have been presented to improve the precision of the positioning. The first method is a solution to the least square error (LSE) by utilizing a convex problem. Generally, the mentioned problem is a non-convex problem; however, it is possible to convert it to a convex one by some relaxation in the constraints. By some justifiable and insightful relaxation, not only we obtain a convex problem, but also the exact solution of the main problem is derived. The second method is using high perturbed TDOA measurements which severely affected the localization....