电波科学学报2025，Vol.40Issue(2)：222-235,14.DOI:10.12265/j.cjors.2024266
面向高速目标探测的多子脉冲结构波形设计方法
The multi-subpulse waveform design method for high-speed target detection
摘要
Abstract
Existing full-pulse structured waveform and processing methods,such as phase-coded waveform matched filtering,have inherent defects of poor Doppler tolerance.Additionally,linear frequency modulation(LFM)waveforms with windowing processing degrade range resolution and signal-to-noise ratio(SNR)gain,making them insufficient for high-speed multi-target detection requirements.To address these limitations,this paper proposes a multi-subpulse structured waveform design and processing method for high-speed target detection.First,an echo model of the multi-subpulse structured waveform is constructed.The range-Doppler response function is derived using segmented subpulse compression processing and inter-subpulse coherent integration.Next,based on the target range-velocity region of interest,an optimization problem for the multi-subpulse structured waveform is formulated under a constant modulus constraint,with the objective of minimizing the weighted integrated range-Doppler sidelobe level.Finally,a coordinate descent(CD)optimization framework is introduced to decompose the high-dimensional non-convex-constrained optimization problem into iterative solutions of multiple one-dimensional subproblems,for which closed-form solutions are derived.Simulation results demonstrate that the proposed multi-subpulse structured waveform exhibits superior Doppler tolerance and lower local range-Doppler sidelobe levels compared to the LFM waveforms,ambiguity-function-optimized waveforms,and LFM-noise waveforms.It further achieves enhanced high-speed target detection capability in cognitive multi-target scenarios.关键词
多普勒容忍度/多子脉冲结构/高速目标/恒模约束/坐标下降(CD)方法Key words
Doppler tolerance/multi-subpulse structure/high speed target/constant modulus constraint/coordinate dscent(CD)method分类
电子信息工程引用本文复制引用
刘世伟,崔国龙,李银,吴远昊,向昭银,孙国皓..面向高速目标探测的多子脉冲结构波形设计方法[J].电波科学学报,2025,40(2):222-235,14.基金项目
国家自然科学基金(U24B20188) （U24B20188）
