【摘要】：無(wú)線通信信道的傳播特性會(huì)影響接收信號(hào)的特性,對(duì)接收的畸變信號(hào)進(jìn)行失真補(bǔ)償是改善接收信號(hào)質(zhì)量、提高通信可靠性的重要途徑。信道均衡技術(shù)是實(shí)現(xiàn)失真補(bǔ)償?shù)挠行侄?對(duì)于第三方接收而言,通常采用信道盲均衡技術(shù)進(jìn)行信道失真補(bǔ)償。傳統(tǒng)的信道盲均衡技術(shù)在假定發(fā)送信號(hào)為圓信號(hào)的條件下,針對(duì)線性時(shí)不變信道進(jìn)行盲均衡。事實(shí)上,無(wú)線通信信號(hào)和信道特性是復(fù)雜多樣的:無(wú)線通信信號(hào)不僅有圓信號(hào)也有非圓信號(hào);通信信道在某些場(chǎng)景下不再是線性時(shí)不變的,而會(huì)呈現(xiàn)出非線性、時(shí)變性。因此,必須從發(fā)送信號(hào)特性、信道特性和接收形式上入手,探索新的盲均衡技術(shù)來(lái)提高盲均衡器的性能和實(shí)用性。本文圍繞復(fù)數(shù)非圓信號(hào)盲均衡問(wèn)題、基于Hammerstein模型的非線性時(shí)不變信道盲均衡問(wèn)題以及空間分集接收條件下的線性時(shí)變信道盲均衡問(wèn)題進(jìn)行深入研究。首先,為了提高8QAM、矩形32QAM等復(fù)數(shù)非圓信號(hào)的盲均衡性能,構(gòu)造了一種新的基于常模的廣義線性盲均衡器結(jié)構(gòu),提出了WL-CMA和WL-RLS-CMA兩種新的廣義線性常模盲均衡器系數(shù)更新算法。新的盲均衡算法能夠充分利用復(fù)數(shù)非圓信號(hào)的二階統(tǒng)計(jì)量信息,從根本上彌補(bǔ)了傳統(tǒng)線性盲均衡算法的不足。理論推導(dǎo)證明了新算法的性能優(yōu)于傳統(tǒng)算法,仿真實(shí)驗(yàn)結(jié)果驗(yàn)證了新算法性能的優(yōu)越性。其次,為了提高非線性信道盲均衡的性能、降低運(yùn)算復(fù)雜度,以Hammerstein模型代替?zhèn)鹘y(tǒng)的Volterra級(jí)數(shù)模型來(lái)模擬非線性信道,利用非線性信道接收信號(hào)呈現(xiàn)非圓性的特點(diǎn),構(gòu)造了一種新的基于Wiener非線性模型的廣義線性盲均衡器,提出了NCWL-CMA和NCWL-CMA Newton-like兩種非線性信道廣義線性盲均衡器系數(shù)更新算法。理論分析和仿真實(shí)驗(yàn)結(jié)果表明,與傳統(tǒng)盲均衡算法相比,新算法顯著地降低了剩余碼間干擾,提高了收斂速度。最后,為了拓展現(xiàn)有基于常模的線性時(shí)變SIMO信道盲均衡算法的適用范圍,在對(duì)現(xiàn)有算法深入研究的基礎(chǔ)上,指出了該算法的信道約束條件,在無(wú)信道約束條件下提出了一種改進(jìn)的基于常模的時(shí)變SIMO信道盲均衡算法。改進(jìn)算法從理論上證明了無(wú)信道約束條件下線性時(shí)變SIMO信道盲均衡器輸出可能具有多個(gè)基頻率,提出了新的基頻率估計(jì)方法,給出了新的均衡器抽頭系數(shù)更新算法。仿真實(shí)驗(yàn)結(jié)果表明,與現(xiàn)有線性時(shí)變SIMO信道盲均衡算法相比,改進(jìn)算法不受信道條件的約束,改善了均衡器的收斂性能,提高了時(shí)變SIMO信道盲均衡結(jié)構(gòu)的實(shí)用性。
[Abstract]:The propagation characteristics of the wireless communication channel will affect the characteristics of the received signal. Compensation for the distortion of the received signal is an important way to improve the quality of the received signal and improve the reliability of the communication. Channel equalization is an effective way to realize distortion compensation. For third-party reception, channel blind equalization is usually used to compensate channel distortion. The traditional blind channel equalization technique is used for blind equalization of linear time-invariant channels under the assumption that the transmitted signal is a circular signal. In fact, the characteristics of wireless communication signal and channel are complex and diverse: wireless communication signal has not only circular signal but also non-circular signal; in some scenarios, communication channel is not linear time-invariant, but nonlinear and time-varying. Therefore, it is necessary to explore a new blind equalization technique to improve the performance and practicability of blind equalizer from the aspects of transmitting signal characteristics, channel characteristics and receiving forms. This paper focuses on the blind equalization of complex non-circular signals, the nonlinear time-invariant channel equalization problem based on Hammerstein model and the linear time-varying channel blind equalization problem under the condition of spatial diversity reception. Firstly, in order to improve the blind equalization performance of complex non-circular signals such as 8QAM and rectangular 32QAM, a new structure of generalized linear blind equalizer based on constant modulus is proposed. Two new coefficients updating algorithms for generalized linear constant mode blind equalizer, WL-CMA and WL-RLS-CMA, are proposed in this paper. The new blind equalization algorithm can make full use of the second-order statistical information of complex non-circular signals and fundamentally make up for the shortcomings of traditional linear blind equalization algorithms. The theoretical derivation proves that the performance of the new algorithm is better than that of the traditional algorithm. The simulation results show that the new algorithm is superior to the traditional algorithm. Secondly, in order to improve the performance of nonlinear channel blind equalization and reduce the computational complexity, the Hammerstein model is used to simulate the nonlinear channel instead of the traditional Volterra series model, and the received signal of the nonlinear channel is non-circular. A new generalized linear blind equalizer based on Wiener nonlinear model is constructed, and two algorithms for updating the coefficients of generalized linear blind equalizer based on NCWL-CMA and NCWL-CMA Newton-like are proposed. The theoretical analysis and simulation results show that compared with the traditional blind equalization algorithm, the new algorithm significantly reduces the residual inter-symbol interference (ISI) and improves the convergence speed. Finally, in order to extend the applicability of the existing linear time-varying SIMO channel blind equalization algorithm based on constant modulus, the channel constraints of the algorithm are pointed out on the basis of deep research on the existing algorithms. An improved blind equalization algorithm based on constant modulus for time-varying SIMO channels without channel constraints is proposed. The improved algorithm theoretically proves that the output of the blind equalizer of linear time-varying SIMO channel without channel constraints may have multiple basis frequencies. A new method for estimating the base frequency is proposed and a new algorithm for updating the tap coefficient of the equalizer is proposed. The simulation results show that compared with the existing linear time-varying SIMO channel blind equalization algorithms, the improved algorithm is not constrained by the channel conditions, improves the convergence performance of the equalizer, and improves the practicability of the blind equalization structure for time-varying SIMO channels.
【學(xué)位授予單位】：解放軍信息工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN911.5

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