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Range Sidelobe Reduction Filter Design for Binary Coded Pulse Compression System

机译：二进制编码脉冲压缩系统的范围旁瓣减小滤波器设计

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摘要

Pulse compression is an active research topic in radar systems. A problem in pulse compression is masking of small targets by the range sidelobes of large nearby targets. A new filter structure is introduced here to suppress the sidelobes of radar signals that result from standard matched filtering. The proposed filter is applicable for any type of binary coding signals. Several techniques are used to calculate the filter coefficients such as Wiener filter technique, Lagrange multiplier method, and linear programming (LP) algorithm. Also, a weighting function is utilized to shape the sidelobe energy in an iterative manner that will yield more sidelobe reduction. Comparison of the proposed filters and the matched filter shows that at the expense of insignificant loss in signal-to-noise ratio (LSNR), adequate mainlobe-to-peak-sidelobe ratio (MSR) can be achieved.
机译：脉冲压缩是雷达系统中一个活跃的研究主题。脉冲压缩中的一个问题是，较大目标附近的距离旁瓣会掩盖较小目标。这里介绍了一种新的滤波器结构，以抑制标准匹配滤波导致的雷达信号旁瓣。所提出的滤波器适用于任何类型的二进制编码信号。使用了多种技术来计算滤波器系数，例如维纳滤波器技术，拉格朗日乘数法和线性规划（LP）算法。而且，利用加权函数以迭代方式成形旁瓣能量，这将产生更多的旁瓣减小。提出的滤波器和匹配滤波器的比较表明，以信噪比（LSNR）的微不足道的损失为代价，可以实现足够的主瓣与峰旁瓣之比（MSR）。

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