针对传统空时自适应抑制算法效率低下问题,提出了基于Kronecker变换的矩阵稀疏恢复空时自适应方法,在有效抑制背景杂波的基础上,使得计算复杂度降低了几个数量级。并结合深度学习领域中的展开技术,构建了一种基于ADMM的复值神经网络ANM-ADMM-Net...
Bistatic MIMO radarGridless angle estimation2D atomic norm minimizationLow complexityADMMCompared with the traditional subspace methods, the application of compressed sensing (CS) to the direction-of-departure (DOD) and direction-of-arrival (DOA) estimation in bistatic multiple-input multiple-output (...
mat | | val_loss.mat │ ADMM_ANM.m | toeplitz_adjoint.m │ Decomposition.m │ dunetwork_test.m │ │ LossCurve.m │ reconstructX.m | │ generateNoiselessData.m | random_target.m | generateLabel.m │ | | range_fft.mat | range_fft对应场景.jpg | field_test.m | AutoTest.m ...