信号处理
信號處理
신호처리
SIGNAL PROCESSING
2014年
9期
1000-1006
,共7页
段琳琳%王忠勇%高向川%肖岩
段琳琳%王忠勇%高嚮川%肖巖
단림림%왕충용%고향천%초암
LDPC编码的比特交织编码调制%因子图%最大和规则粒子滤波%消息调度机制
LDPC編碼的比特交織編碼調製%因子圖%最大和規則粒子濾波%消息調度機製
LDPC편마적비특교직편마조제%인자도%최대화규칙입자려파%소식조도궤제
LDPC-BICM%factor graph%particle filter max-sum rule%message update schedule
针对时变信道下 LDPC 编码的比特交织编码调制(Low Density Parity-Check coded Bit-Interleaved Coded Modulation,LDPC-BICM)系统的因子图模型中信道估计精度低与复杂度较高等问题,改进传统参数消息调度机制,提出一种新的非参数消息调度机制实现联合信道估计与译码。为获得性能与复杂度的折中,一方面从全局角度考虑,合理选择不同的内外迭代组合形式,设计了稀疏估计的消息调度机制,一方面从迭代译码角度考虑,通过选择不同的门限和比较准则,设计了局部选择性更新的消息调度机制。同时,将max-sum规则与MCMC粒子滤波相结合,给出基于硬判决的信道消息更新机制,有效解决了粒子样本枯竭问题,提高了信道估计精度。仿真结果表明,这种消息调度机制不仅有效降低复杂度,并且优于传统的消息调度机制。
針對時變信道下 LDPC 編碼的比特交織編碼調製(Low Density Parity-Check coded Bit-Interleaved Coded Modulation,LDPC-BICM)繫統的因子圖模型中信道估計精度低與複雜度較高等問題,改進傳統參數消息調度機製,提齣一種新的非參數消息調度機製實現聯閤信道估計與譯碼。為穫得性能與複雜度的摺中,一方麵從全跼角度攷慮,閤理選擇不同的內外迭代組閤形式,設計瞭稀疏估計的消息調度機製,一方麵從迭代譯碼角度攷慮,通過選擇不同的門限和比較準則,設計瞭跼部選擇性更新的消息調度機製。同時,將max-sum規則與MCMC粒子濾波相結閤,給齣基于硬判決的信道消息更新機製,有效解決瞭粒子樣本枯竭問題,提高瞭信道估計精度。倣真結果錶明,這種消息調度機製不僅有效降低複雜度,併且優于傳統的消息調度機製。
침대시변신도하 LDPC 편마적비특교직편마조제(Low Density Parity-Check coded Bit-Interleaved Coded Modulation,LDPC-BICM)계통적인자도모형중신도고계정도저여복잡도교고등문제,개진전통삼수소식조도궤제,제출일충신적비삼수소식조도궤제실현연합신도고계여역마。위획득성능여복잡도적절중,일방면종전국각도고필,합리선택불동적내외질대조합형식,설계료희소고계적소식조도궤제,일방면종질대역마각도고필,통과선택불동적문한화비교준칙,설계료국부선택성경신적소식조도궤제。동시,장max-sum규칙여MCMC입자려파상결합,급출기우경판결적신도소식경신궤제,유효해결료입자양본고갈문제,제고료신도고계정도。방진결과표명,저충소식조도궤제불부유효강저복잡도,병차우우전통적소식조도궤제。
Compared to conventional message schedule in factor graph model of LDPC-BICM(low density parity-check co-ded Bit-Interleaved Coded Modulation)system,a novel nonparametric message update schedule is proposed to get a good trade-off between the performance and complexity.From a global perspective,a message update schedule with sparse channel estimation is designed by selecting different kinds of combination of the outer and inner iteration.And a partial selective mes-sage update schedule is designed from the local iterative decoding perspective by choosing proper comparison rule and thresh-old.In addition,a channel message update schedule is presented to prevent particle impoverishment and improve channel es-timation precision by combining Markov Chain Monte Carlo (MCMC)particle filters (PF)into max-sum rule.Simulation re-sults illustrate effectiveness and performance superiority of the proposed schedule compared to conventional schedule.