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基于信号空间时频分布的到达角(DOA)估计算法利用Cohen类分布构造空间时频分布矩阵D_(xx)(t,f)代替传统的阵列协方差矩阵R_(xx),信源数目判断是阵列测向中的重要课题,在基于空间时频分布的DOA算法基础上,对阵列观测结果的空间时频分布矩阵进行模式识别,通过搜索来波在时频平面的信号项进行聚类,可以在信号源数目多于阵元数时判断来波数量。
DOA estimation algorithm based on time-frequency distribution of signal space uses the Cohen class distribution to construct the spatial time-frequency distribution matrix D xx (t, f) instead of the traditional array covariance matrix R xx. The number of sources is Based on the DOA algorithm based on space time-frequency distribution, pattern recognition is performed on the spatial time-frequency distribution matrix of the array observation results. Clustering can be performed by searching for the signal of the wave in the time-frequency plane When the number of sources is more than the number of elements to determine the number of waves.