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Analysis and application of wavelet transform in target imaging and detection of stepped frequency MMW radar

机译:小波变换在目标成像中的分析与应用,阶梯式频率MMW雷达检测

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摘要

The imaging and target detection methods for stepped frequency signal based on the wavelet transform and its power spectrum are investigated. Not only an imaging and target detection algorithm for stepped frequency signal based on the wavelet transform, but also its respective power spectrum are proposed. The multisampling property of stepped frequency signal is studied and wavelet transform is well suited for analyzing the signal. After multisampling property of stepped frequency signal being studied, it is shown that the wavelet transform is appropriate to analyze the signal. Based on the theory, the wavelet power spectrum analysis is applied to obtain the target range profile and the binary wavelet transform is used to perform target detection. To determine a suitable wavelet scaling for imaging of range profile' s MMW radar, the distance resolution △R technique is proposed. The effectiveness of this new method is evaluated using simulated noisy radar signal. Results show that the proposed method can bring out the exactness and low computational complexity of this method.
机译:研究了基于小波变换及其功率谱的阶梯式频率信号的成像和目标检测方法。不仅基于小波变换的阶梯频率信号的成像和目标检测算法,还提出了其各自的功率谱。研究了阶梯式频率信号的多样度特性,并且小波变换非常适合分析信号。在研究阶梯式频率信号的多样采样特性之后,示出了小波变换适合分析信号。基于该理论,施加小波功率谱分析以获得目标范围分布,并且二进制小波变换用于执行目标检测。为了确定用于测距范围轮廓的MMW雷达的合适小波缩放,提出了距离分辨率△R技术。使用模拟噪声雷达信号评估该方法的有效性。结果表明,该方法可以提出这种方法的精确性和低计算复杂性。

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