A recursive least squares implementation for LCMP beamforming under quadratic constraint

Quadratic constraints on the weight vector of an adaptive linearly constrained minimum power (LCMP) beamformer can improve robustness to pointing errors and to random perturbations in sensor parameters. We propose a technique for implementing a quadratic inequality constraint with recursive least sq...

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Veröffentlicht in:	IEEE transactions on signal processing 2001-06, Vol.49 (6), p.1138-1145
Hauptverfasser:	Zhi Tian, Bell, K.L., Van Trees, H.L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Array signal processing Closed-form solution Computer simulation Constraints Detection, estimation, filtering, equalization, prediction Error detection Exact sciences and technology Exact solutions Information, signal and communications theory Interference constraints Interference suppression Least squares approximation Least squares method Least squares methods Mathematical analysis Recursive Resonance light scattering Robustness Sensor arrays Signal and communications theory Signal, noise Telecommunications and information theory Vectors
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