| 摘要: |
| 车载毫米波雷达间交叉干扰直接影响雷达的目标探测精度和驾驶安全，针对此问题本文提出一种基于逐次变分模态分解(Successive Variational Mode Decomposition，SVMD)结合小波阈值的干扰抑制方法。首先通过 PID 搜索算法(PID Search Algorithm，PSA) 对 SVMD 的最大正则化参数进行优化选择，然后利用 SVMD 将受扰雷达信号分解为一组本征模态函数(Intrinsic Mode Function, IMF)。接着对每个 IMF 依次进行小波阈值化处理以滤除各模态中的干扰，最后将各模态叠加完成信号重构，获得干扰抑制后的毫米波雷达信号。本文在 PSA 中加入陷进避免算子以增加探索范围和避免局部最优，在小波阈值处理中改进了硬阈值函数以解决函数连续性差的问题。多目标场景下的仿真实验和实测实验结果表明，该方法干扰抑制效果显著，能够提高雷达的检测性能。 |
| 关键词: 毫米波雷达 逐次变分模态分解 PID搜索算法 小波阈值 |
| DOI： |
| 分类号:TN973.3 |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| Interference mitigation method of radar based on Successive variational mode decomposition and wavelet threshold |
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| Abstract: |
| The cross interference between automotive millimeter wave radars directly affects the accuracy of radar in target detection and driving safety. Aiming at this problem a interference mitigation method based on Successive Variational Mode Decomposition and Wavelet Threshold is proposed in this paper. Firstly, PID Search Algorithm (PSA) is used to optimize the maximum regularization parameter in SVMD, then SVMD is used to decompose millmeter wave radar signal with interference into a set of intrinsic mode functions. After that the interference in each decomposition mode is filtered out by wavelet threshold. Finally all the mode signals are superimposed to complete the signal reconstruction and millimeter wave radar signal without interference is achieved. In this paper, trap avoidance operators are added to PSA to increase the scope of exploration and avoid local optimality. In the process of wavelet
threshold, hard threshold function is improved to solve the problem of poor continuity. Simulation experiments and actual experiments in multi-objective scenario show that the proposed method can effectively suppress interference signals and improve the detection performance of radar. |
| Key words: millimeter wave radar: successive variational mode decomposition: PID Search Algorithm: wavelet threshold |