Volume 6 Issue 3
Jun.  2017
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Fu Yue, Cui Guolong, Yu Xianxiang. Robust Design of Constant Modulus Sequence and Receiver Filter in the Presence of Signal-dependent Clutter[J]. Journal of Radars, 2017, 6(3): 292-299. doi: 10.12000/JR16158
Citation: Fu Yue, Cui Guolong, Yu Xianxiang. Robust Design of Constant Modulus Sequence and Receiver Filter in the Presence of Signal-dependent Clutter[J]. Journal of Radars, 2017, 6(3): 292-299. doi: 10.12000/JR16158

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

DOI: 10.12000/JR16158
Funds:  The National Natural Science Foundation of China (61201276, 61301266, 61501083), The Fundamental Research Funds of Central Universities (ZYGX2013J012, ZYGX2014J013, ZYGX2014Z005, ZYGX2015KYQD056)
  • Received Date: 2016-12-30
  • Rev Recd Date: 2017-03-24
  • Available Online: 2017-06-01
  • Publish Date: 2017-06-28
  • 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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