单基地MIMO雷达降维酉ESPRIT算法

波达方向(direction of arrival, DOA)估计问题是单基地多输入多输出(multiple input multiple output, MIMO)雷达信号处理中的一个关键问题。在低信噪比、低快拍数的情况下，常规DOA估计算法的性能会严重下降。针对此问题，提出一种新的DOA估计算法：降维酉旋转不变性信号参数估计技术算法。该算法首先通过降维变换将MIMO雷达数据变换至低维信号空间，然后在该低维信号空间构造实值旋转不变性方程估计目标的DOA。仿真结果表明该方法能够在低信噪比、低快拍数的环境下获得较常规ESPRIT方法更高的DOA估计精度，同时具有更低的运算量。

Reduced dimensional unitary ESPRIT algorithm for monostatic MIMO radar

Direction of arrival (DOA) estimation is an important issue in monostatic multiple input multiple-output (MIMO) radar signal processing. For conventional DOA estimation methods, performance degradation occurs with low signal to noise ratio and small samples. A novel DOA estimation method called reduced dimensional unitary estimation of signal parameters via rotational invariance technique (ESPRIT) is proposed. Firstly, the received data is transformed into a low dimensional signal space via the reduced dimensional transformation. Then, the real valued rotational invariance equations for the low dimensional signal subspace are constructed to estimate DOAs. Numerical examples are given to demonstrate that the proposed algorithm can provide increased DOA estimation accuracy and reduced computational complexity compared with the conventional ESPRIT algorithms.