基于BPSK和MASK信号源特点的实值ESPRIT算法

在信号源为BPSK和MASK的情况下，提出了一种波达方向（DOA）估计方法。对于等距线阵上的接收数据，此算法根据信号源为实信号的特点，利用欧拉公式形成正弦和余弦数据，并将其加以串联，这相当于将阵元个数加倍，然后在此基础上运用ESPRIT类算法估计波达方向。由于正（余）弦数据为实值数据，所以本文提出的算法可以有效地将运算量减少到相同维数复值运算量的1／4。仿真实验表明新算法不仅估计精度高，而且能够处理的信号个数可大于阵元个数。

A Real-value ESPRIT Algorithm via Exploitation of BPSK and MASK Sources Property

A new ESPRIT-like method is presented to estimate the direction-of-arrival(DOA) angle from one-dimensional signal sources such as BPSK and MASK.A new data covariance model is proposed,by exploiting the array geometry and the property of sources,then a ESPRIT-like algorithm is used to estimate the DOA.Because the new data are the real-valued sine and cosine data respectively,the proposed algorithm can double the length of data by concatenating the sine and cosine data in tandem,as a result it can improve the performance of the DOA estimation and handle more sources than sensors.More importantly,the computational complexity is reduced in the eigennalysis stage,because it exploits the eigencomposition of a real-valued covariance matrix.The simulation results show that the proposed method is superior in resolving noncoherent signal.