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

Karbasi, S. M ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1049/iet-rsn.2014.0527
  3. Publisher: Institution of Engineering and Technology , 2015
  4. Abstract:
  5. 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 problems. The resulting computational complexity is linear with the number of iterations and polynomial with the sizes of the STTC and the STRF. At the analysis stage, they assess the performance of the proposed algorithm in terms of the achieved SINR. They show that properly exploiting the spatial degrees of freedom offered by the MIMO system, it is possible to obtain considerable SINR gains with respect to the conventional single-input-single-output system. Moreover, their results highlight the capability of the proposed method to robustify the performance of the designed system against possible knowledge inaccuracies
  6. Keywords:
  7. Channel estimation ; Codes (symbols) ; Constrained optimization ; Degrees of freedom (mechanics) ; Feedback control ; Iterative methods ; Knowledge based systems ; MIMO radar ; MIMO systems ; Optimization ; Radar ; Signal to noise ratio ; Space time codes ; Space-based radar ; Spurious signal noise ; Telecommunication networks ; Telecommunication repeaters ; Convex optimisation ; Environmental database ; Knowledge based design ; Multiple input multiple output (MIMO) radars ; Number of iterations ; Receive filters ; Signal to interference plus noise ratio ; Single input single output systems ; Signal interference
  8. Source: IET Radar, Sonar and Navigation ; Volume 9, Issue 8 , 2015 , Pages 1124-1135 ; 17518784 (ISSN)
  9. URL: http://ieeexplore.ieee.org/document/7272158/?arnumber=7272158