Phase-only Direct Data Domain Algorithm Based on Nonlinear Conjugate Gradient Method
Qian Zuping · Jisuanji fangzhen · 2007
A phase-only direct data domain least square (D3LS) algorithm based on the nonlinear conjugate gradient method was proposed. After the cost function was obtained via the normal D3LS algorithm, its gradient was derived according to small phase perturbations effect and Taylor Expansion. The cost function was optimized with the nonlinear conjugate gradient method to determine the optimal phase-only weight vector as a final result. As a phase-only adaptive algorithm, the proposed algorithm has a better simplicity on hardware implementation than conventional algorithms. Moreover, it processes only a single snapshot data with no use for the formation of the sample covariance matrix and matrix inversion operation. Therefore, it may be so effective in real-time processing. Simulation results show the proposed algorithm has a good signal recovery and interferences nulling performance.