基于寬帶突發(fā)單載波頻域均衡傳輸?shù)臅r(shí)域精細(xì)信道估計(jì)方法
doi: 10.11999/JEIT150682
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1.
(清華大學(xué)電子工程系 北京 100084) ②(清華大學(xué)信息科學(xué)與技術(shù)國(guó)家實(shí)驗(yàn)室 北京 100084) ③(數(shù)字電視國(guó)家工程實(shí)驗(yàn)室(北京) 北京 100091) ④(深圳市數(shù)字電視系統(tǒng)重點(diǎn)實(shí)驗(yàn)室 深圳 518000)
國(guó)家973科技項(xiàng)目 (2012CB316000),國(guó)家重大專項(xiàng)(2015ZX03002008),國(guó)家電網(wǎng)項(xiàng)目([2015]404-41)
Time-domain Fine Channel Estimation Based on Broadband Burst Single-carrier Frequency Domain Equalization Transmission
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1.
(Department of Electronic Engineering, Tsinghua University, Beijing 100084, China)
The National 973 Project of China (2012CB 316000), The National Science and Technology Major Project?of China (2015ZX03002008), The National Power Grid Technology Project of China ([2015]404-41)
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摘要: 單載波頻域均衡(SC-FDE)是寬帶無線通信系統(tǒng)中一種具有競(jìng)爭(zhēng)力的解決方案,獲得了廣泛的關(guān)注和研究。SC-FDE方案不僅抗多徑能力出色、復(fù)雜度低,且具有比正交頻分復(fù)用(OFDM)信號(hào)更低的峰均比值。在突發(fā)SC- FDE系統(tǒng)中,接收機(jī)需要利用訓(xùn)練序列快速獲取信道的特征信息,以避免解調(diào)性能損失。傳統(tǒng)的基于訓(xùn)練序列的信道估計(jì)方法并不適合寬帶猝發(fā)SC-FDE系統(tǒng),難以兼顧估計(jì)準(zhǔn)確性和復(fù)雜度。該文提出一種基于時(shí)域訓(xùn)練序列的精細(xì)信道估計(jì)方法。該方法利用時(shí)域PN序列得到信道參數(shù)的最大似然估計(jì)值,并利用信道稀疏的特征,根據(jù)信道噪聲強(qiáng)度對(duì)信道估計(jì)值進(jìn)行噪聲抑制處理。仿真表明:與傳統(tǒng)信道估計(jì)方法相比,該信道估計(jì)方法能取得更高的估計(jì)精度,且具有較低的實(shí)現(xiàn)復(fù)雜度。Abstract: Single Carrier-Frequency Domain Equalization (SC-FDE) is a competitive alternative for broadband wireless communication systems, which has attracted wide attention and extensive research. As an effective technical solution to cope with multipath effects, SC-FDE shows low complexity and has low signal peak to average power ratio compared with OFDM signals. In burst SC-FDE systems, channel information is required at the receivers to avoid the performance loss of demodulations. Traditional channel estimation methods based on training sequences are not very suitable for broadband burst SC-FDE system. In this paper, a fine channel estimation method based on the time-domain training sequence is proposed. Channel parameters are obtained with the aid of time domain PN sequence based on maximum likelihood criteria. Besides, the noise suppression process is performed for channel estimation values on account of the channel noise strength. Simulation results demonstrate that the proposed channel estimation method can significantly reduce the Bit Error Rate (BER) of signal reception while maintaining low realization complexity.
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