Deinterleaving Radar Pulse Trains with Sliding Time Windows
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摘要: 电磁空间中大量存在着相互交错的固定重频雷达脉冲列，例如海面大量舰船发射的导航雷达信号、机载脉冲多普勒雷达在不同时段发射的相干脉冲列等。这些脉冲列以时间片段的形式存在，电子侦察分析系统无法事先确定其起止时刻，给这类雷达的重频参数估计和脉冲分选造成了较大困难。该文首先分析脉冲列的短持续时间特性给传统脉冲分选方法性能造成的负面影响，然后引入滑动时间窗思想来削弱这一影响，并据此提出脉冲重频间隔(PRI)高精度估计和脉冲分选方法。仿真结果验证了新方法的重频参数估计和脉冲分选性能。Abstract: In the surrounding electromagnetic space, there are a large number of interleaved radar pulse trains consisting of pulse sequences with fixed repetition intervals, such as ship-borne navigation radar signals, airborne pulse Doppler radar signals, etc. These pulse trains exist in the form of time segments, and electronic reconnaissance systems are unable to determine their starting and ending time in advance, which makes it difficult to estimate the repetition intervals and deinterleave the pulses of this kind of radar. This paper first analyzes the negative impact of the short duration of such pulse trains on the performance of traditional pulse deinterleaving methods, and then introduces the idea of sliding time window to weaken this impact. Based on this idea, this paper proposes a high-precision estimator of Pulse Repetition Intervals (PRI) and a pulse deinterleaving method. Simulation results verify the performance of the new method on PRI estimation and pulse deinterleaving.
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