DocumentCode :
2475444
Title :
On the lower performance bounds for DOA estimators from linearly-modulated signals
Author :
Bellili, Faouzi ; Affes, Sofiène ; Stéphenne, Alex
Author_Institution :
INRS-EMT, Montreal, QC, Canada
fYear :
2010
fDate :
12-14 May 2010
Firstpage :
381
Lastpage :
386
Abstract :
In this paper, the problem of direction of arrival (DOA) estimation from linearly-modulated signals over AWGN channels is considered. We derive closed-form expressions for the inphase/quadrature Cramér-Rao lower bounds of the data-aided (DA) DOA estimates from any linearly-modulated signal corrupted by additive white circular complex Gaussian noise (AWCCGN). We consider the case of single-source signals impinging on multiple receiving antenna elements, commonly known as single input multiple output (SIMO) configurations. An analytical approach is conducted to compare the achievable performance in coherent estimation against noncoherent estimation over uniform linear array (ULA) and uniform circular array (UCA) configurations. It will be shown that the CRLBs that can be achieved over a ULA are lower than those that can be achievable over a UCA up to a given angular aperture whose expression is also derived in this paper. It will be shown also that ULAs exhibit lower CRLBs in coherent estimation than in noncoherent estimation and that the CRLBs hold, however, the same for UCAs in both estimation schemes.
Keywords :
AWGN channels; channel estimation; direction-of-arrival estimation; AWCCGN channels; CRLB; Cramer-Rao lower bounds; SIMO; UCA configuration; ULA; additive white circular complex Gaussian noise; angular aperture; closed-form expressions; data-aided DOA estimation; direction of arrival estimation; linearly modulated signals; multiple receiving antenna elements; noncoherent estimation; single input multiple output; uniform circular array; uniform linear array; Additive noise; Antenna arrays; Array signal processing; Closed-form solution; Direction of arrival estimation; Gaussian noise; Linear antenna arrays; Maximum likelihood estimation; Performance analysis; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (QBSC), 2010 25th Biennial Symposium on
Conference_Location :
Kingston, ON
Print_ISBN :
978-1-4244-5709-0
Type :
conf
DOI :
10.1109/BSC.2010.5472961
Filename :
5472961
Link To Document :
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