Adaptive Coding, Modulation and Filtering of Radar Signals
Adaptive Coding, Modulation and Filtering of Radar Signals
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雷达信号的自适应编码、调制和滤波
DOI：
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发表时间：
2018
期刊：
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通讯作者：
A. A. Babiker
中科院分区：
文献类型：
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作者：
Moutaman Mirghani Daffalla;A. A. Babiker
在本章中，突出了与雷达信号处理相关的一些问题，重点是适应性。信号处理操作由系统进行，以便增强接收信号或澄清其信息内容。雷达接收信号在提取有用目标信息之前，必须进行处理，以便在其它伴随信号中突出有用信号。射频（RF）信号的处理通常以模拟方式进行，而数字信号处理（DSP）在系统的中频（IF）和低频部分中占主导地位。由于对干扰和杂波的可检测性和抗扰性强烈地依赖于所使用的波形，因此应用多样化的波形而不是限制于固定代码和模式的不变波形将更有效。雷达信号的自适应编码、调制和滤波为信号处理器提供了高度的多样性以及灵活性和敏捷性，以应对不断变化的干扰源和环境依赖的反射器。恒虚警（CFAR）是一种降低噪声和杂波的自适应处理技术。CFAR技术采用不同的方法来科普杂波密度和分布的变化。
In this chapter, some of the issues associated with radar signal processing are highlighted, with an emphasis on adaptability. Signal processing operations are carried by systems in order to enhance the received signal or to clarify its content of information. Received radar signal should be subjected to processing prior to the extraction of useful target information out of it so as to emphasize desired signal among other accompanying signals. Processing of the radio frequency (RF) signal is generally done in an analogue manner, while digital signal processing (DSP) became dominant in the intermediate-frequency (IF) and lowfrequency portions of the system. Since the detectability and immunity against interference and clutter strongly depend on the waveform used, it will be more efficient to apply a diverse waveform instead of confinement to an invariable waveform of a fixed code and pattern. Adaptive coding, modulation and filtering of radar signals provide high degree of diversity as well as flexibility and agility for signal processors versus changing sources of interference and environmentally dependent reflectors. Constant false alarm rate (CFAR) is an adaptive processing technique that reduces noise and clutter. Different methods are applied in CFAR technique to adaptively cope with varying clutter density and distribution.