广东电力
廣東電力
엄동전력
GUANGDONG ELECTRIC POWER
2014年
8期
46-49
,共4页
自适应%正交频分复用技术%信道估计%线性最小均方误差算法
自適應%正交頻分複用技術%信道估計%線性最小均方誤差算法
자괄응%정교빈분복용기술%신도고계%선성최소균방오차산법
self-adaptive%orthogonal frequency division multiplexing%channel estimation%linear minimum mean square er-ror
针对自适应正交频分复用(orthogonal frequency division multiplexing,OFDM)系统中线性最小均方误差(linear minimum mean square error,LMMSE)算法复杂度高、数据传输速率低问题,采用改进 LMMSE算法对配电网信道状态进行了信道估计,通过和LMMSE算法对比,该改进 LMMSE的计算复杂度相比 LMMSE算法已大大地降低,在配电网信道估计的时间上节省8 s,大大缩短了信道估计的时间。
針對自適應正交頻分複用(orthogonal frequency division multiplexing,OFDM)繫統中線性最小均方誤差(linear minimum mean square error,LMMSE)算法複雜度高、數據傳輸速率低問題,採用改進 LMMSE算法對配電網信道狀態進行瞭信道估計,通過和LMMSE算法對比,該改進 LMMSE的計算複雜度相比 LMMSE算法已大大地降低,在配電網信道估計的時間上節省8 s,大大縮短瞭信道估計的時間。
침대자괄응정교빈분복용(orthogonal frequency division multiplexing,OFDM)계통중선성최소균방오차(linear minimum mean square error,LMMSE)산법복잡도고、수거전수속솔저문제,채용개진 LMMSE산법대배전망신도상태진행료신도고계,통과화LMMSE산법대비,해개진 LMMSE적계산복잡도상비 LMMSE산법이대대지강저,재배전망신도고계적시간상절성8 s,대대축단료신도고계적시간。
It is very key to correctly estimate channel state of electric power lines in view of complicated characteristic of communication network structure of electric power lines. Aiming at problems of high complexity of linear minimum mean square error algorithm and low data transmission rate in orthogonal frequency division multiplexing system,this paper intro-duces channel estimation on channel state of distribution network by using improve LMMSE algorithm. Compared with LMMSE algorithm,this improved LMMSE algorithm was proved to be with low calculation complexity which was able to save 8 s of channel estimation time and greatly shorten channel estimation time.
