Waveforms Search for Noncoherent Pulse Compression

被引:1
|
作者
Levanon, Nadav [1 ]
Cohen, Itzik [2 ]
机构
[1] Tel Aviv Univ, Fac Engn, IL-6997801 Tel Aviv, Israel
[2] Weizmann Inst Sci, Fac Math & Comp Sci, IL-7610001 Rehovot, Israel
关键词
Codes; Laser radar; Signal to noise ratio; Radar; Matched filters; Delays; Encoding; Sensors; Monte Carlo methods; Frequency modulation; Channel allocation; Noise measurement; Pulse compression methods; Signal processing; Coherent detection; RADAR;
D O I
10.1109/MAES.2024.3365662
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Radar pulse compression is a prevalent radar technique that increases the bandwidth of a coherent radar pulse by intrapulse frequency modulation or phase coding. A matched filter (MF), used on receive, causes a long weak pulse to exhibit delay properties of a narrow strong pulse. Longer mismatched filters (MMF) are often used to lower the sidelobes of the delay response, with a penalty of a small loss in the signal-to-noise ratio. This article reviews techniques that extend this important concept to noncoherent sensors whose only emitted coding option is on-off (e.g., direct detection LIDAR). It shows that processing by a mismatched filter is obligatory rather than optional. It discusses merit measures and presents search results of medium-length, good, on-off sequences. The article covers also periodic on-off sequences, corresponding to continuous wave radar. Here the on receive MMF is replaced by a same period-length, real-valued, reference sequence, exhibiting perfect (sidelobe-free) periodic cross-correlation, with the emitted on-off periodic sequence. Detection in the presence of noise is demonstrated through Monte-Carlo simulations.
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页码:32 / 40
页数:9
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