Reduced symmetric self-constructing fuzzy neural network beamforming detectors

Fast converging CMA-aided maximum a-posteriori algorithm with a conjugate symmetric constraint for adaptive blind beamforming

“…The system model investigated is the same as that in [1][2][3][4][15][16]. We consider a uniformly spaced linear array with M omni-directional sensors and an adjacent sensor space d a , which should be less than half of the signal wavelength a , respectively.…”

“…We consider a uniformly spaced linear array with M omni-directional sensors and an adjacent sensor space d a , which should be less than half of the signal wavelength a , respectively. Then, the received array signals at the nth snapshot can be expressed as [1][2][3][4][15][16] )…”

“…The MAP-based algorithm actually has been employed in both reference-based methods [3,4] and blind methods [7][8][9][10][11][12][13][14]. However, none of these works discusses a closed-form optimal solution for the MAP algorithm.…”

“…DAPTIVE beamforming [1][2][3][4]15,16] is a technique for receiving the signal of interest from some specific directions while suppressing the interfering signals adaptively from other directions using an array of sensors. In the literature [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] there have been numerous applications to current communication and array processing systems, like spatial-division multiple access systems.…”

“…In the literature [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] there have been numerous applications to current communication and array processing systems, like spatial-division multiple access systems. The beamformer weights can be adapted by reference-based methods [1][2][3][4], such as the sample matrix inversion (SMI) or least mean square algorithm (LMS), where the SMI can be seen as the optimal solution for the reference-based methods. However, a large number of reference data considerably reduce the achievable system throughput.…”