电讯技术
電訊技術
전신기술
TELECOMMUNICATIONS ENGINEERING
2014年
1期
84-88
,共5页
李双志%张喆%张建康%穆晓敏
李雙誌%張喆%張建康%穆曉敏
리쌍지%장철%장건강%목효민
多用户OFDM/SDMA%信道有效阶数%赤池信息量准则%信道估计%差分进化
多用戶OFDM/SDMA%信道有效階數%赤池信息量準則%信道估計%差分進化
다용호OFDM/SDMA%신도유효계수%적지신식량준칙%신도고계%차분진화
multi-user OFDM/SDMA%channel effective order%AIC%channel estimation%differential evolution
针对多用户正交频分复用/空分多址( OFDM/SDMA)系统上行链路多址信道,基于噪声信道提出了一种新的信道有效阶数和信道冲激响应联合估计算法。该算法以最大似然为目标函数,构建了基于差分进化并行搜索信道有效阶数并进行信道冲激响应估计的联合框架。算法引入赤池信息量准则作为搜索阶数最优的评判函数,以提高信道有效阶数和信道冲激响应的估计精度。仿真验证了所提算法的有效性和可靠性,结果表明引入赤池信息量准则( AIC )在降低有效信道阶数估计误差的同时提高了时域最大似然信道估计器的性能。特别地,在误码率为10-5时,所提算法能够获得约1.5 dB的性能增益。
針對多用戶正交頻分複用/空分多阯( OFDM/SDMA)繫統上行鏈路多阯信道,基于譟聲信道提齣瞭一種新的信道有效階數和信道遲激響應聯閤估計算法。該算法以最大似然為目標函數,構建瞭基于差分進化併行搜索信道有效階數併進行信道遲激響應估計的聯閤框架。算法引入赤池信息量準則作為搜索階數最優的評判函數,以提高信道有效階數和信道遲激響應的估計精度。倣真驗證瞭所提算法的有效性和可靠性,結果錶明引入赤池信息量準則( AIC )在降低有效信道階數估計誤差的同時提高瞭時域最大似然信道估計器的性能。特彆地,在誤碼率為10-5時,所提算法能夠穫得約1.5 dB的性能增益。
침대다용호정교빈분복용/공분다지( OFDM/SDMA)계통상행련로다지신도,기우조성신도제출료일충신적신도유효계수화신도충격향응연합고계산법。해산법이최대사연위목표함수,구건료기우차분진화병행수색신도유효계수병진행신도충격향응고계적연합광가。산법인입적지신식량준칙작위수색계수최우적평판함수,이제고신도유효계수화신도충격향응적고계정도。방진험증료소제산법적유효성화가고성,결과표명인입적지신식량준칙( AIC )재강저유효신도계수고계오차적동시제고료시역최대사연신도고계기적성능。특별지,재오마솔위10-5시,소제산법능구획득약1.5 dB적성능증익。
In order to improve the precision of channel parameter estimation, a novel channel effective or-der estimation scheme is proposed for multi-user Orthogonal Frequency Division Multiplexing/Space Divi-sion Multiple Access( OFDM/SDMA) uplink system in this paper. Exploiting Akaike’s Information Criteri-on ( AIC) as the evaluation function to search the optimal order, this scheme performs a joint channel ef-fective order and channel impulse response estimation in a parallel way based on the differential algorithm. With the introduction of AIC, it can reduce the estimation errors of multi-access channel effective order. Simulation results verify the validity and reliability of the proposed scheme. It is also shown that the pro-posed scheme achieves a better mean square error performance than the fixed channel order scheme and improves the performance of time-domain Maximum Likelihood channel estimator.