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线性调频信号主瓣不展宽旁瓣抑制方法
引用本文:郭瑞,蔡志明,姚直象.线性调频信号主瓣不展宽旁瓣抑制方法[J].电子与信息学报,2014,36(2):298-303.
作者姓名:郭瑞  蔡志明  姚直象
作者单位:海军工程大学电子工程学院 武汉 430033
基金项目:国家自然科学基金(51109218, 60902071),东南大学水声信号处理教育部重点实验室开放研究基金(UASP1303)和海军工程大学科研基金(HGDQNEQJJ12008, HGDQNJJ11027)资助课题
摘    要:以汉明窗为代表的加权方法在抑制线性调频信号的匹配滤波输出峰值旁瓣的同时展宽主瓣,致使距离分辨力下降。为兼顾旁瓣抑制和高距离分辨力的需求,该文提出一种新的主瓣不展宽旁瓣抑制方法。该方法首先将匹配滤波和加权处理的输出幅度进行归一化处理,然后逐点进行比较,再取各点对应的最小值作为最终的输出数据。该方法兼取了匹配滤波和加权处理的优点,其-3 dB主瓣展宽系数与匹配滤波相比仅为1,而旁瓣抑制性能和对应的加权处理相当。仿真结果和湖上试验验证了该方法的有效性。

关 键 词:信号处理    线性调频信号    旁瓣抑制    主瓣宽度    匹配滤波    汉明加权
收稿时间:2013-04-01

Sidelobe Suppression Method of Linear Frequency Modulated Signal without Mainlobe Widening
Guo Rui Cai Zhi-ming Yao Zhi-xiang.Sidelobe Suppression Method of Linear Frequency Modulated Signal without Mainlobe Widening[J].Journal of Electronics & Information Technology,2014,36(2):298-303.
Authors:Guo Rui Cai Zhi-ming Yao Zhi-xiang
Affiliation:Electrical Engineering College, Navy Engineering University, Wuhan 430033, China
Abstract:Weighting methods, such as Hamming window, can suppress the peak sidelobe level of matching filter output of Linear Frequency Modulated (LFM) signal, but they also cause obviously mainlobe widening which results in range resolution worsening. Considering requirements of both sidelobe suppression and range resolution, a novel sidelobe suppression method without mainlobe widening is proposed. The amplitude outputs of matching filter and weighting window are firstly normalized, and then compared point by point, finally the minimum value of each point is chosen as the output data. This method fuses both merits of matching filter and weighting processing. The -3 dB mainlobe widening coefficient of the proposed method is only 1 compared with matching filter, and sidelobe suppressing performance is equivalent with the employed weighting window. Simulation results and lake experiment demonstrate the validity of the proposed method.
Keywords:Signal processing  Linear Frequency Modulated (LFM) signal  Sidelobe suppression  Mainlobe width  Matching filter  Hamming weighting
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