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| 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
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Robust Design of Constant Modulus Sequence and Receiver Filter in the Presence of Signal-dependent Clutter
doi: 10.12000/JR16158
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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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References
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- Figure 1. W-SINR versus iteration number for SOA2-EC, ISO and SOA2-CMC
- Figure 2. Contour maps of CAF
- Figure 3. W-SINR against the normalized uncertainty size for ISO and SOA2-CMC, associated with the nominal design and the robust design