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Long Time Coherent Integration Method Based on Combining Pulse Compression and Radon-Fourier Transform
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摘要: 传统相干雷达信号处理流程中先脉冲压缩再相参处理的级联处理在理论上无法实现对高速目标回波能量的最大化积累，级联处理的输出结果中目标峰值位置存在偏差，甚至还伴随主瓣展宽、增益下降、旁瓣增高的问题。为此该文提出一种联合脉压与Radon傅里叶变换(PC-RFT)的长时间相参积累方法，利用信号之间的相关关系将匹配滤波与Radon傅里叶变换相结合，在快时间(脉内时间)与慢时间(脉间时间)维度上同时补偿脉内和脉间的多普勒频移，从而实现目标增益的最大化。实验表明二维联合处理的性能明显优于级联处理。
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关键词:
- 脉冲压缩 /
- Radon傅里叶变换 /
- 长时间相参积累 /
- 脉内多普勒频率 /
- 二维联合处理
Abstract: In the traditional coherent radar signal processing, the cascaded processing with pulse compression followed by coherent integration cannot achieve the maximum accumulation of high-speed target’s echo energy in theory. In addition, the result of the cascaded processing is characterized by deviation in the target peak position, accompanied by problems, such as the broadening of the main lobe, a decrease in the gain, and an increase in the side lobes. Therefore, this paper proposes a long time coherent integration method combining Pulse Compression and Radon-Fourier Transform (PC-RFT). This method utilizes the correlation between signals to combine matched filter and RFT. To maximize the target gain, the fast time (intra-pulse time) and slow time (inter-pulse time) dimensions are combined to compensate for the intra-pulse and inter-pulse Doppler shifts. The experimental results show that the two-dimensional joint processing outperforms the cascaded processing. -
图 1 LFM信号，NLFM信号，P4和P3编码信号的模糊函数
Figure 1. Ambiguity figure of LFM, NLFM, P4 and P3 code
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