Iterative Detection In Wireless Communications, Signal Processing Applications

In the severe interference environment of electronic warfare, it is important to suppress interference for reliability of information transmission. How to approach the capacity of distributed Multiple Input Multiple Output system is the key technique in beyond 3G. Iterative processing technique which is a nonlinear technique for joint signal processing by the means of exchanging prior information can approach better performance than traditional receiver, so this thesis introduces the research of iterative detection in anti-jamming communication system and distributed Multiple Input Multiple Output system.In AWGN (Additive White Gaussian Noise) channel, we introduce a new single-tone interference suppression scheme in the single-tone interference environment. According to the characteristics of single-tone in frequency domain, single-tone interference can be reconstructed. Then interference cancellation is implemented. Simulation results demonstrate that at ISR (Interference-to-Signal Ratio) = 50dB, the performance of the proposed receiver is almost the same as the receiver without interference.In AWGN channel, we introduce a novel iterative multiple-tone interference suppression scheme in the multiple-tone interference environment. Firstly, the strongest interference is estimated and cancelled. Then interference estimation and cancellation is implemented again in the next iteration. Through the iterative processing, multiple-tone interference is removed. In this thesis, the effect of different frequency interval and power allocated of multiple-tone interference on the performance of the proposed scheme is analyzed by simulation results.Over multiple-path fading channel, a novel iterative single-tone interference suppression scheme is proposed for convolutionally coded system in the single-tone interference environment. The iterative receiver is based on the combination of iterative single carrier frequency domain equalization and interference rebuilding and cancellation. Simulation results over multiple-path Rayleigh fading channel demonstrate that at ISR = 25dB the performance of the proposed receiver at the 6th iteration is almost the same as the receiver at 1st iteration without interference. At ISR = 10dB and BER (Bit Error Rate) = 10?4 , the 1st iteration's Eb N 0 is 2 dB above the 6^th iteration's.An iterative receiver is introduced for convolutionally coded distributed MIMO with V-BLAST architecture. A maximum-likelihood (ML) iterative detector and a low-complexity Turbo detection scheme are proposed. The computational complexity is O^M_TSlogM and O(M_T²M_R²S²M) respectively. Simulation results in quasi-stationary, single-path Rayleigh fading channel demonstrate that the proposed low-complexity iterative detection algorithm offers significant performance improvement about 7.5 dB at Eb N 0 than the non-iterative zero-forcing detection. At...