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      Robust Design of Constant Modulus Sequence and Receiver Filter in the Presence of Signal-dependent Clutter

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          Abstract

          In this paper, we focus on the detection of a moving point-like target embedded in uncertain signal-dependent clutter and develop robust transmit-code and receive-filter designs in slow-time. First, based on the Worst-case Signal-to-Interference-plus-Noise Ratio (W-SINR) when the second-order clutter statistics are uncertain, we establish a high-dimensional transmit-receive optimization model that considers the constant modulus constraint with non-convexity. Next, we propose an Iterative Sequential Optimization (ISO) algorithm. At each iteration, it converts a high-dimensional optimization into multiple one-dimensional fractional programming problems that can be efficiently solved using Dinkelbach’s method. Finally, we use numerical examples to confirm that the ISO can resist the uncertain knowledge of signal-dependent clutter, which enables the radar system to adapt to complicated environments. Moreover, compared to Semi-Definite Relaxation (SDR)-related and randomization methods, the proposed algorithm is superior with respect to both optimized W-SINR and computational time.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 June 2017
          : 6
          : 3
          : 292-299
          Affiliations
          [1 ] (School of Electronics Engineering, University of Electronic Science and Technology, Chengdu 611731, China)
          Article
          b77971a1eed942c6bdaf2e140ff218cc
          10.12000/JR16158

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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