电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2014年
4期
855-861
,共7页
正交频分多址(OFDMA)%初始测距%迭代%并行干扰消除(PIC)
正交頻分多阯(OFDMA)%初始測距%迭代%併行榦擾消除(PIC)
정교빈분다지(OFDMA)%초시측거%질대%병행간우소제(PIC)
Orthogonal Frequency Division Multiple Access (OFDMA)%Initial ranging%Iterative%Parallel Interference Cancellation (PIC)
针对现有正交频分多址(OFDMA)系统初始测距算法检测性能不佳以及复杂度过高的问题,该文提出一种低复杂度迭代干扰消除的多用户初始测距算法。该算法采用迭代并行干扰消除方法,在接收端按照最大功率准则并行检测活动测距用户的有效径,利用估计出的有效径参数信息来减小信道估计中的干扰,再通过重构和并行消除多用户测距信号。计算机仿真结果表明,与连续多用户检测(SMUD)干扰抵消算法相比,当信噪比为9 dB,且一个测距时隙内测距用户数为8时,所提算法的复杂度大约是SMUD的25%,检测性能大约提高了5%。
針對現有正交頻分多阯(OFDMA)繫統初始測距算法檢測性能不佳以及複雜度過高的問題,該文提齣一種低複雜度迭代榦擾消除的多用戶初始測距算法。該算法採用迭代併行榦擾消除方法,在接收耑按照最大功率準則併行檢測活動測距用戶的有效徑,利用估計齣的有效徑參數信息來減小信道估計中的榦擾,再通過重構和併行消除多用戶測距信號。計算機倣真結果錶明,與連續多用戶檢測(SMUD)榦擾牴消算法相比,噹信譟比為9 dB,且一箇測距時隙內測距用戶數為8時,所提算法的複雜度大約是SMUD的25%,檢測性能大約提高瞭5%。
침대현유정교빈분다지(OFDMA)계통초시측거산법검측성능불가이급복잡도과고적문제,해문제출일충저복잡도질대간우소제적다용호초시측거산법。해산법채용질대병행간우소제방법,재접수단안조최대공솔준칙병행검측활동측거용호적유효경,이용고계출적유효경삼수신식래감소신도고계중적간우,재통과중구화병행소제다용호측거신호。계산궤방진결과표명,여련속다용호검측(SMUD)간우저소산법상비,당신조비위9 dB,차일개측거시극내측거용호수위8시,소제산법적복잡도대약시SMUD적25%,검측성능대약제고료5%。
To solve the issues of the low detection performance and high computational complexity of the available initial ranging algorithms for Orthogonal Frequency Division Multiple Access (OFDMA) systems, a low-complexity initial ranging algorithm with iterative interference cancellation is presented. By using the Parallel Interference Cancellation (PIC) scheme in an iterative fashion, the proposed algorithm detects parallelly the valid paths of active users by means of the strongest power criterion at the receiver, and mitigates the channel estimation interference by employing the parameters estimation of the valid paths. Then it rebuilds and cancels parallelly the detected multiusers’ signals. Simulation results show that when there are 8 initial ranging users in one ranging time slot and the signal noise ratio is 9 dB, the computational complexity of the proposed algorithm is approximately 25% of that of the Successive MultiUser Detection (SMUD) with interference cancellation algorithm, and the detection performance is improved by 5%compared with SMUD.