Title :
An Improved LSL Interpolator to Suppress Narrow-Band Interference forDirect-Sequence Spread-Spectrum Systems
Author :
Sun, Zhiguo ; Guo, Lili
Author_Institution :
Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin
Abstract :
An improved interpolator based on QR-decomposition is proposed to suppress narrow-band interference (NBI) in direct-sequence spread-spectrum (DS/SS) systems. This interpolator is based on the discrepancy in the predictability between NBI and the spread spectrum signal (SS), and then uses a linear interpolation of the received signal to estimate NBI. Because of QR-decomposition operation instead of inverting the correlation matrix and a novel variable with a small dynamic range, the performances of QRD-LSL interpolators outperform ones of LSL predictors and LSL interpolators. It was shown that the QRD-LSL interpolators can obtain more 4 dB processing gain than LSL predictors and LSL predictors, and its total computational complexity scales linearly with the interpolation order.
Keywords :
computational complexity; interference suppression; interpolation; least mean squares methods; matrix decomposition; spread spectrum communication; DS-SS systems; LSL linear interpolator; QR-decomposition; computational complexity; correlation matrix; direct-sequence spread-spectrum systems; least-squares-lattice algorithm; narrow-band interference suppression; Arithmetic; Convergence; Interference suppression; Interpolation; Least squares approximation; Narrowband; Signal processing; Signal processing algorithms; Spread spectrum communication; Time domain analysis;
Conference_Titel :
Communications and Networking in China, 2006. ChinaCom '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0462-2
Electronic_ISBN :
1-4244-0463-0
DOI :
10.1109/CHINACOM.2006.344717
