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In this paper, we propose an improved QP-Free method for nonlinear inequality constrained optimization based on linear equations. This new algorithm only needs to solve two systems of linear equations. It has the following advantages: (1) the amount of computation is greatly reduced; (2) the good nature of the descent directions is fully used; (3) the obtained search direction is feasible. Under some...
A class of reference signal based (RSB) beamforming algorithms is proposed based on a symmetrically distributed array (SDA) by constraining its weight vector to a specific conjugate symmetric form, which is derived from the beamformer with a minimum mean square error (MSE). The effect of the additional constraint is equivalent to adding a second step in the derived adaptive algorithms. Moreover, since...
A novel constant modulus algorithm (CMA) is proposed based on a uniformly spaced linear array by constraining its weight vector to a specific conjugate symmetric form. The constraint is derived from the beamformer with an optimum output signal to interference plus noise ratio (SINR). The effect of the additional constraint is equivalent to adding a second step to the original adaptive algorithm. With...
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