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.
付 月, 崔国龙, 余显祥. 信号相关杂波背景下稳健的恒模序列与接收滤波器设计方法[J]. 雷达学报, 2017, 6(3): 292-299.
Fu Yue, Cui Guolong, Yu Xianxiang. Robust Design of Constant Modulus Sequence and Receiver Filter in the Presence of Signal-dependent Clutter. JOURNAL OF RADARS, 2017, 6(3): 292-299.
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