A significant feature of this analysis is that it includes different types of error sources, such as the finite sample effect induced by additive observation noise, the sensor error effect induced by the inaccurate knowledge of sensor response and location, and the effect of a coherent noise field with unknown structure. The MUSIC, Min-Norm, State-Space Realization (TAM) and ESPRIT algorithms are analyzed in a common framework. The analysis assumes that only a finite amount of array data is available at high signal-to-noise ratio. In this paper, a unified statistical performance analysis using perturbation expansions is applied to subspace-based algorithms for direction-of-arrival (DOA) estimation in array signal processing. Through channels with deep fades, and superior performance relative toĬMA and existing output diversity techniques relying on multiple Simulations illustrate applications to blindĮqualization of downlink CDMA transmissions, multicarrier modulations Online, and remain consistent (after appropriate modifications), even at The resulting algorithms areĬomputationally simple, require small data sizes, can be implemented Exploiting this simple form of redundancy, blind channelĮstimators, block synchronizers, and direct self-recovering equalizingįilterbanks are derived in this paper. With trailing zeros allow for perfect (in the absence of noise)Įqualization of FIR channels with FIR zero-forcing equalizerįilterbanks, irrespective of the input color and the channel zero With minimal rate reduction, FIR filterbank transmitters Precoders offers a unifying framework for single- and multiuser Redundancy introduced using finite impulse response (FIR) filterbank Multiple antennas and fractional samplingįor pt.I see ibid., vol.47, no.7, p.1988-2006 (1999). Simulations illustrateĪpplications to multi-carrier modulation through channels with deepįades, and superior performance relative to the constant modulusĪlgorithm (CMA) and existing output diversity techniques relying on Modifications) even at low SNR colored noise. Implemented online, and remain consistent (after appropriate The resultingĪlgorithms are computationally simple, require small data sizes, can be Input diversity, blind channel estimators, block synchronizers, andĭirect self-recovering equalizing filterbanks are derived. The input color and the channel zero locations. Zeros allow for perfect (in the absence of noise) equalization of FIRĬhannels with FIR zero-forcing equalizer filterbanks, irrespective of With minimal rate reduction, FIR filterbank transmitters with trailing Offers a unifying framework for single- and multi-user transmissions. Transmitter redundancy introduced using FIR filterbank precoders
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