摘要
提出了一种基于RAT法和RWT法的快速算法,研究噪声环境中线性调频信号的检测以及参数估计问题。该方法对信号的检测通过一维搜索完成,同时对调频率识别比较准确,在此基础上,通过窄带通滤波器对LFM信号去除大部分的噪声能量。和其他基于二维时频分析工具的算法相比,降低了计算的复杂度,其实现更为简便。最后通过计算机仿真验证了该方法的有效性。
A new double-quick method based on Radon-Wigner transform （RWT） and radon-Ambiguity transform（RAT） is presented for detection and parameter estimation of linear frequency modulated （LFM） signals in a noisy environment. The detection of signal is accomplished by one dimensional searching. Meanwhile the chirp rate identification is more accurate. Then, on the basis of de-chirping the LFM signal, a narrowband filter depresses most of the noise energy. In addition, when compared with other two dimension time frequency, it is easier in computation and simpler in implementation. Computer simulations have verified the effectiveness of the method.
出处
《现代防御技术》
北大核心
2013年第1期136-141,共6页
Modern Defence Technology
