国防科技大学学报
國防科技大學學報
국방과기대학학보
Journal of National University of Defense Technology
2015年
5期
169-174
,共6页
李啸天%雷菁%刘伟%曹伟%李艳斌
李嘯天%雷菁%劉偉%曹偉%李豔斌
리소천%뢰정%류위%조위%리염빈
正交频分复用%偏移正交振幅调制%干扰近似法%盲信道估计%均方误差
正交頻分複用%偏移正交振幅調製%榦擾近似法%盲信道估計%均方誤差
정교빈분복용%편이정교진폭조제%간우근사법%맹신도고계%균방오차
orthogonal frequency division multiplexing%offset quadrature amplitude modulation%interference approximate method%blind channel estimation%mean square error
非合作通信背景下,针对传统干扰近似法(IAM)进行正交频分复用(OFDM)/偏移正交振幅调制(OQAM)系统信道估计需要导频符号值作为先验信息的问题,提出一种基于 OQAM符号特征的 IAM(OCB-IAM)估计算法。该算法利用 IAM导频结构和 OQAM实符号的有限集特征,将信道衰落系数幅度和相位分开估计,在仅获得导频位置而未知导频符号值的条件下实现了 OFDM/OQAM系统半盲信道估计。并且证明了OCB-IAM算法由于利用接收符号的二阶统计量将高斯白噪声变为非随机的单音干扰,从而在中低信噪比条件下具有优于 IAM算法的估计性能。仿真实验验证了理论推导的正确性和 OCB-IAM算法的可靠性。
非閤作通信揹景下,針對傳統榦擾近似法(IAM)進行正交頻分複用(OFDM)/偏移正交振幅調製(OQAM)繫統信道估計需要導頻符號值作為先驗信息的問題,提齣一種基于 OQAM符號特徵的 IAM(OCB-IAM)估計算法。該算法利用 IAM導頻結構和 OQAM實符號的有限集特徵,將信道衰落繫數幅度和相位分開估計,在僅穫得導頻位置而未知導頻符號值的條件下實現瞭 OFDM/OQAM繫統半盲信道估計。併且證明瞭OCB-IAM算法由于利用接收符號的二階統計量將高斯白譟聲變為非隨機的單音榦擾,從而在中低信譟比條件下具有優于 IAM算法的估計性能。倣真實驗驗證瞭理論推導的正確性和 OCB-IAM算法的可靠性。
비합작통신배경하,침대전통간우근사법(IAM)진행정교빈분복용(OFDM)/편이정교진폭조제(OQAM)계통신도고계수요도빈부호치작위선험신식적문제,제출일충기우 OQAM부호특정적 IAM(OCB-IAM)고계산법。해산법이용 IAM도빈결구화 OQAM실부호적유한집특정,장신도쇠락계수폭도화상위분개고계,재부획득도빈위치이미지도빈부호치적조건하실현료 OFDM/OQAM계통반맹신도고계。병차증명료OCB-IAM산법유우이용접수부호적이계통계량장고사백조성변위비수궤적단음간우,종이재중저신조비조건하구유우우 IAM산법적고계성능。방진실험험증료이론추도적정학성화 OCB-IAM산법적가고성。
Interference approximate method (IAM)for orthogonal frequency division multiplexing /offset quadrature amplitude modulation (OFDM/OQAM)channel estimation needs the value of preamble at the background of un-cooperative communications.Motivated by this consideration,an OQAMcharacteristic based-IAM(OCB-IAM)algorithm,which used IAMpreamble framework and OQAMsymbols’real finite-alphabet characteristics,was introduced.OCB-IAMalgorithm estimated the amplitude and phase of channel fading coefficients separately,and just needed preamble position,which was a kind of semi-blind channel estimators.OCB-IAMalgorithm converted white Gaussian noise into single tone interference based on the second-order statistics of received symbols.Then it could be proved that OCB-IAM algorithm has a better performance than IAMalgorithm in medium and low SNR regime.Numerical results show the validity of theoretical analysis and the reliability of OCB-IAM algorithm.