一种应用于波束空间的改进TCT算法

双边相关变换（TCT）算法利用各频率点无噪声数据之间的关系构造聚焦矩阵。为了降低其计算复杂度和分辨门限，针对聚焦矩阵的构造方法，提出了一种改进算法。改进后的算法一定程度上降低了运算量，提高了算法的分辨能力和在低信噪比下的估计精度，然后将此算法从阵元空间变换到波束空间中，降低了运算维度，且没有影响原方法的估计精度。最后通过仿真结果证明了文中算法的有效性，并分析了该改进算法性能与信号入射角度、带宽之间的关系。

An Improved TCT Algorithm for DOA Estimation in Beam-Space Domain

Two-sided correlation transformation（TCT） algorithm utilizes the relationship between the noise data of different frequency points to construct focusing matrix. In order to reduce the implementation complexity and resolution threshold, an improved algorithm is proposed involving the focusing matrix structure. The new method reduces the amount of computation and improves the resolution as well as the estimation accuracy in low signal-to-noise ratio（SNR） scenario. Application of this improved algorithm from array space to beam space domain leads to reduction of the computational dimensions without decreasing the original precision of the estimation. The simulation results show that the new method provides better performance than the original algorithm. Meanwhile, the relationship between the performance of improved algorithm and the signal parameters, such as the signal direction-of-arrival and bandwidth, is analyzed in this paper.