運(yùn)動(dòng)目標(biāo)環(huán)境下的調(diào)頻步進(jìn)信號(hào)目標(biāo)抽取算法
Targets Redundancy Removed Algorithm for Modulated Frequency Stepped Pulse Radar Signal Echoed by Moving Target
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摘要: 為了減少采樣損失，調(diào)頻步進(jìn)信號(hào)的采樣率通常高于chirp子脈沖的帶寬。在這種過采樣冗余情況下，需要對(duì)IFFT合成高分辨結(jié)果進(jìn)行目標(biāo)抽取去冗余方能得到高分辨一維距離像。然而當(dāng)目標(biāo)運(yùn)動(dòng)時(shí)，目標(biāo)抽取的結(jié)果會(huì)產(chǎn)生目標(biāo)丟失或偽峰等現(xiàn)象。該文提出了一種基于幅度最強(qiáng)像偏移量的動(dòng)目標(biāo)抽取算法，該方法利用幅度最強(qiáng)像的偏移量修正各采樣點(diǎn)的目標(biāo)抽取范圍，從而解決了速度估計(jì)誤差引起的速度-距離耦合對(duì)目標(biāo)抽取算法的影響。計(jì)算機(jī)實(shí)驗(yàn)結(jié)果驗(yàn)證了理論分析的正確性。Abstract: To reduce the loss of sampling, higher sampling frequency than bandwidth of chirp must be adopted for Modulated Frequency Stepped Pulse(MFSP) radar signal, which will bring on over-sampling result of pulse compression for chirp. So the pick-up algorithm for the MFSP radar signal must be adopted to eliminate targets redundancy in order to obtain fine HRRP(High-Resolution Range Profile). However, because of inaccuracy of the velocity compensation method, the velocity error of the moving target will produce velocity-range coupling error, even bring the influence of losing target or producing spurious peaks on the HRRP. This paper proposes a targets redundancy removed algorithm based on the offset of the most powerful scatterer, which can solve the velocity-range coupling problem effectively by modifying the pick-up scopes of all sampled points. Finally, the processing results of both simulated data and real radar data validate the correctness of theoretical analysis.
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