A Competitive Mean-Squared Error Approach to Beamforming

We treat the problem of beamforming for signal estimation where the goal is to estimate a signal amplitude from a set of array observations. Conventional beamforming methods typically aim at maximizing the signal-to-interference-plus-noise ratio (SINR). However, this does not guarantee a small mean-...

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Veröffentlicht in:	IEEE transactions on signal processing 2007-11, Vol.55 (11), p.5143-5154
Hauptverfasser:	Eldar, Y.C., Nehorai, A., La Rosa, P.S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Amplitude estimation Applied sciences Array signal processing Arrays Beamforming Detection, estimation, filtering, equalization, prediction Errors Estimates Estimation error Exact sciences and technology Information, signal and communications theory Mathematical models minimax mean-squared error minimax regret Minimax technique Minimax techniques Miscellaneous Power measurement robust beamforming Robustness Sensor arrays Signal and communications theory Signal design Signal processing Signal to noise ratio Signal, noise Strategy subband beamforming Telecommunications and information theory Wideband
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