Title :
Detection Decoding Joint Adaptive Iterative Technique for MIMO System With Impulse Noise Interference
Author :
Ma, Changzheng ; Ng, Boon Poh
Author_Institution :
Sch. of Electr. & Inf. Eng., Zhongyuan Univ. of Technol., Zhengzhou
Abstract :
Multiple input multiple output (MIMO) techniques can improve the spectrum efficiency of a communication system significantly. Decision outputs are feedbacked as reference signal in minimum mean square error (MMSE) adaptive detection. When channel conditions change abruptly, especially if there is impulse noise, continuously abrupt errors may occur. Even if the channel conditions change better thereafter, the output signal can not be detected correctly. Detection decoding joint detection method is efficient to improve coded communication system performance. Because decoded data have lower bits error rate, the decoded data are then re-interleaved and reused as the reference signal in MMSE detection. This iterative algorithm can reduce the continuously abrupt errors. Simulation results show the effectiveness of this iterative method
Keywords :
MIMO communication; adaptive decoding; impulse noise; interference (signal); iterative decoding; least mean squares methods; signal detection; MIMO system; MMSE adaptive detection; bits error rate; coded communication system; detection decoding joint detection method; impulse noise interference; iterative algorithm; joint adaptive iterative technique; minimum mean square error adaptive detection; multiple input multiple output; reference signal; Error correction; Fading; Interference; Iterative decoding; Iterative methods; MIMO; Mean square error methods; Receiving antennas; Signal processing algorithms; Vectors;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345903
