Title :
Correcting DFT Codes with a Modified Berlekamp-Massey Algorithm and Kalman Recursive Syndrome Extension
Author :
Redinbo, G. Robert
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA
Abstract :
Real number block codes derived from the discrete Fourier transform (DFT) are corrected by coupling a very modified Berlekamp-Massey (BM) algorithm with a syndrome extension process. The modified BM algorithm determines recursively the locations of any large errors whose number is within the capability of the DFT code. It evolves a connection polynomial which is changed when a discrepancy is above a threshold which is adjusted during each iteration. The large error locations are repositioned to exact location indices to combat low-level noise effects. The syndromes are extended using the refined connection polynomial taps. Alternately, enhanced extension recursions based on Kalman syndrome extensions are developed and simulated.
Keywords :
algorithm theory; discrete Fourier transforms; DFT codes; Kalman recursive syndrome extension; Kalman syndrome extensions; discrete Fourier transform; low level noise effects; modified Berlekamp-Massey algorithm; real number block codes; refined connection polynomial taps; Covariance matrix; Discrete Fourier transforms; Kalman filters; Noise; Polynomials; Vectors; Algorithm-based fault tolerance; Berlekamp-Massey algorithm; Kalman estimation; discrete Fourier transform codes; syndrome extensions;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.2012.175