基于卷积波束空间传播算子的FDA-MIMO雷达角度、距离估计算法OA北大核心CSTPCD

Addressing the issues of high dimensional received data and complex engineering implementation for FDA-MIMO (Frequency Diverse Array-Multiple Input Multiple Output) radar, this paper proposes an algorithm to estimate angle and range of target in the convolutional beamspace. Firstly, based on the orthogonality between the transmitted waveforms, the echo signal corresponding to each transmitted waveform is passed through a set of filters that satisfy the Nyquist property. Secondly, the output data of the convolutional steady state of each filter is decimated to reduce the data dimensionality. Then, an angle and range estimation algorithm using propagator method is developed. The unambiguous angle and range estimates are obtained based on the passband characteristics of the convolutional filters and the coupling relationship between the angle and range of FDA. Finally, numerical simulations are conducted to validate the effectiveness of the proposed convolutional beamspace algorithm.