自適應(yīng)切換雙模盲均衡算法

曾樂(lè)雅; 許華; 王天睿

doi:10.11999/JEIT160099

自適應(yīng)切換雙模盲均衡算法

doi: 10.11999/JEIT160099

1.
(空軍工程大學(xué)信息與導(dǎo)航學(xué)院西安 710077)
2.
(南京師范大學(xué)地理科學(xué)學(xué)院南京 210046)

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61001111)

計(jì)量
- 文章訪問(wèn)數(shù): 1541
- HTML全文瀏覽量: 149
- PDF下載量: 383
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-01-21
- 修回日期: 2016-06-08
- 刊出日期: 2016-11-19

Dual Mode Blind Equalization Algorithm Based on Adaptive Switching

1.
(Information and Navigation College, Air Force Engineering University, Xi&rsquo
2.
(School of Geography Science, Nanjing Normal University, Nanjing 210046, China)

Funds:

The National Natural Science Foundation of China (61001111)

摘要

摘要: 常數(shù)模算法在無(wú)線通信系統(tǒng)的盲均衡中得到廣泛的使用，為了進(jìn)一步降低穩(wěn)態(tài)誤差通常選擇將其與判決引導(dǎo)最小均方誤差算法相結(jié)合，傳統(tǒng)的雙模切換盲均衡算法通過(guò)人為設(shè)定門(mén)限值實(shí)現(xiàn)兩種算法的硬切換，其切換時(shí)機(jī)選擇的合理性無(wú)法保證，不能充分凸顯雙模切換的長(zhǎng)處。該文利用凸組合結(jié)構(gòu)借助遵循一定規(guī)則迭代變化的聯(lián)合參數(shù)將兩種算法進(jìn)行結(jié)合，實(shí)現(xiàn)兩種算法模式的切換，自適應(yīng)地選擇切換時(shí)機(jī)，并通過(guò)對(duì)算法的修正和混合參數(shù)歸一化的改進(jìn)使在克服恢復(fù)信號(hào)相位偏轉(zhuǎn)的同時(shí)加快了收斂速率、降低了穩(wěn)態(tài)誤差；另外，對(duì)穩(wěn)態(tài)性能進(jìn)行推導(dǎo)分析得到了理論的穩(wěn)態(tài)模型。仿真結(jié)果證明穩(wěn)態(tài)性能與模型推導(dǎo)結(jié)果保持一致，參數(shù)歸一化改進(jìn)所得效果較為明顯，與同類(lèi)其它雙模切換算法相比具有更優(yōu)的性能。
- 信號(hào)處理 /
- 盲均衡 /
- 凸組合 /
- 雙模 /
- 歸一化
Abstract: The constant modulus algorithm is widely used in the blind equalization of wireless communication system, in order to reduce further the steady-state error, it is usually combined with the decision directed least mean square algorithm. The traditional dual mode blind equalization algorithm can achieve the hard switching of the two algorithms by setting the threshold value artificially. The rationality of the switch can not be guaranteed, it also can not fully highlight the advantages of dual mode switching. In this paper, the structure of the convex combination is used to achieve the switching between two modes and can adaptively choose the switching time. It improves the convergence rate and reduces the steady-state error by modifying the algorithm and normalizing the mixed parameter. In addition, the steady-state performance is derived and analyzed. Simulation results demonstrate that the performance of the model is consistent with the results, the effect of parameter normalization is obvious. Compared with other similar dual mode switching algorithms, it has better performance.
- Signal processing /
- Blind equalization /
- Convex combination /
- Dual-mode /
- Normalization

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參考文獻(xiàn)(20)

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