摘要
针对雷达回波信号的信噪比问题,提出了一种认知雷达的优化波形算法。它参考点目标、高斯白噪声下的匹配滤波原理,利用Schwarz不等式和拉格朗日算法,得出了优化信号与杂波功率谱之间的关系表达式。仿真表明,相对于线性调频(LFM)信号,该算法可以提高雷达回波信号的输出信噪比,从而提高了雷达的目标检测概率。
Aiming at the signal-to-noise ratio （SNR） of radar echo signal,this paper proposes an op- timizing waveform algorithm of cognitive radar,which consults the matched filtering theory in the condition of point target and Gauss white noise, uses the Schwarz inequality and Lagrange algo- rithm to educe the relational expression between the optimizing signal and clutter power spectrum. The simulation indicates that the algorithm can improve the output SNR of radar echo signal and then increase the radar detection probability relative to the linear frequency modulation （LFM） signal.
出处
《舰船电子对抗》
2013年第3期59-62,共4页
Shipboard Electronic Countermeasure
关键词
信噪比
匹配滤波
优化波形
signal-to-noise ratio
matched filtering
optimizing waveform
