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Filter-Based Design of Noise Radar Waveform With Reduced Sidelobes

机译：降低旁瓣的噪声雷达波形的基于滤波器的设计

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摘要

Noise radars possess several advantageous properties, including low probability of detection and identification, especially when working in continuous-wave mode. One of the main drawbacks of such radars is the occurrence of the masking effect, when a weak target echo is masked by the sidelobes of a strong target echo. The sidelobes of the ambiguity function emerge on the level of the time-bandwidth product below the main peak and are spread in the entire range-Doppler plane. While most approaches to mitigate the masking effect focus on the processing of the received signal, it is possible to move the computation burden to the waveform design phase. This paper describes a filter-based method of creating noise-like waveforms that have very low sidelobes in the area of certain range and Doppler shifts. Both theoretical analysis and measurement results are presented and compared with the lattice filter method of masking effect cancellation.
机译：噪声雷达具有几个有利的特性，包括低的检测和识别概率，尤其是在连续波模式下工作时。这种雷达的主要缺点之一是当弱目标回波被强目标回波的旁瓣遮盖时，就会发生掩蔽效应。模糊函数的旁瓣出现在主峰以下的时间带宽积的水平上，并在整个范围多普勒平面内扩展。尽管大多数减轻屏蔽效果的方法都集中在对接收信号的处理上，但有可能将计算负担转移到波形设计阶段。本文介绍了一种基于滤波器的方法，用于创建类似噪声的波形，这些波形在特定范围内的多边瓣和多普勒频移非常低。给出了理论分析和测量结果，并与掩蔽效应消除的晶格滤波方法进行了比较。

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