Title :
Subspace algorithms for error localization with DFT codes
Author :
Rath, Gagan ; Guillemot, Christine
Author_Institution :
IRISA/INRIA, France
Abstract :
We propose two subspace algorithms for error localization with quantized DFT codes. The algorithms are similar to the MUSIC and the minimum-norm algorithms employed in array signal processing for direction of arrival (DOA) estimation. We present the algorithms in a generalized form with a variable dimension syndrome covariance matrix. Simulation results show that their localization performances are similar, and they achieve the peak values when the rank of the covariance matrix reaches the maximum value. They also perform better than the coding theoretic approach over a broad range of channel-error-to-quantization-noise ratio.
Keywords :
combined source-channel coding; covariance matrices; discrete Fourier transforms; quantisation (signal); random noise; transform coding; DFT codes; DOA estimation; MUSIC; array signal processing; channel-error-to-quantization-noise ratio; direction of arrival estimation; error localization; joint source-channel coding; minimum-norm algorithms; subspace algorithms; variable dimension matrix; variable dimension syndrome covariance matrix; Covariance matrix; Direction of arrival estimation; Error correction; Frequency; Multiple signal classification; Parity check codes; Partitioning algorithms; Polynomials; Quantization; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1202613