Least squares constant modulus algorithm uses the low modulus fluctuation characteristics of most communication signals, 18 and the AIS signal is a constant ...
Beamforming with sparse constraint has shown significant performance improvement. In this letter, a least squares constant modulus blind adaptive ...
Jan 1, 2012 · SUMMARY. Beamforming with sparse constraint has shown significant performance improvement. In this letter, a least squares constant modulus.
The least-square constant modulus algorithm is a prominent blind adaptive beamforming algorithm. We propose two CMA-based algorithms which exploit the constant ...
Jan 1, 2012 · Summary: Beamforming with sparse constraint has shown significant performance improvement. In this letter, a least squares constant modulus ...
The convergence behavior of the least squares constant modulus algorithm in an adaptive beamforming application is examined and the improvement in output ...
The convergence behavior of the least squares constant modulus (CM) algorithm in an adaptive beamforming application is examined. It is assumed that the ...
In this work, we propose a constrained constant modulus re- cursive least squares (CCM-RLS) algorithm for blind adaptive beamforming. The scheme optimizes a ...
Missing: Sparse | Show results with:Sparse
Nov 11, 2017 · This work proposes constrained constant modulus unscented Kalman filter (CCM-UKF) algorithm and its low-complexity version called ...
A robust direct data domain least squares (D3LS) beamforming algorithm that is capable of reducing the sidelobe level of the beam pattern is presented.