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基于統(tǒng)計(jì)特性的MIMO水聲信道容量分析

發(fā)布時(shí)間:2018-10-31 13:31
【摘要】:隨著海洋資源的大規(guī)模開(kāi)發(fā)利用以及海洋軍事戰(zhàn)略方針的迫切需要,利用水下聲信道進(jìn)行信息傳輸?shù)男枨蟠蟠笤黾印K曅诺廊萘孔鳛橐粋(gè)非常重要的衡量水聲信道狀況的因素,具有很大的研究意義和價(jià)值。限制氋速水下聲通信的主要因素就是極為有限的帶寬,因?yàn)镸IMO(Multiple Input Multiple Output)技術(shù)能提高無(wú)線通信系統(tǒng)的頻帶利用率,故MIMO技術(shù)在水聲通信中的應(yīng)用前景很大。目前,計(jì)算水聲信道容量主要包括實(shí)地測(cè)量和計(jì)算機(jī)仿真建模兩種方法。其中水聲信道建模大致分為靜態(tài)的水聲傳播模型和動(dòng)態(tài)的隨機(jī)統(tǒng)計(jì)的水聲信道模型。然而,目前對(duì)動(dòng)態(tài)水聲信道容量模型的研究并不多。本文建立的水聲信道容量仿真模型是一種基于信道統(tǒng)計(jì)特性的MIMO信道模型。它是一種滿足隨機(jī)性和時(shí)變性的動(dòng)態(tài)模型,更接近于復(fù)雜的海洋狀況。這種信道模型更準(zhǔn)確是由于它考慮到了水聲傳播的物理規(guī)律,比如傳輸損耗、底部表面反射、多徑效應(yīng)和多普勒頻移,以及不可避免的隨機(jī)局部位移的影響。本文先搭建了一個(gè)SISO(Single Input Single Output)的信道模型,并對(duì)其信道容量進(jìn)行綜合分析。然后把模型擴(kuò)展到MIMO信道,并在Matlab平臺(tái)上做了大量的仿真實(shí)驗(yàn)。最后,將MIMO與SISO的信道容量進(jìn)行比較,得到結(jié)論:MIMO信道可以明顯提高水聲信道容量。而且還分析研究了信號(hào)頻率、信噪比、傳輸帶寬、傳輸距離和水深等因素對(duì)水聲信道容量的影響。這種時(shí)變的MIMO水聲信道的容量仿真模型,克服了水聲信道地點(diǎn)不確定性和環(huán)境條件變化的缺點(diǎn),還有效地提高了水聲信道的信道容量。這種信道滿足隨機(jī)性,更接近實(shí)際情況,而且便于實(shí)時(shí)監(jiān)測(cè)。仿真分析獲得的一些結(jié)論在信道性能仿真研究、水聲傳輸系統(tǒng)的設(shè)計(jì)、實(shí)際測(cè)量等方面都有重要的指導(dǎo)意義。
[Abstract]:With the large-scale exploitation and utilization of marine resources and the urgent need of marine military strategy, the need of underwater acoustic channel for information transmission is greatly increased. As a very important factor to measure the underwater acoustic channel capacity, underwater acoustic channel capacity has great significance and value. The main factor limiting underwater acoustic communication is the very limited bandwidth, because MIMO (Multiple Input Multiple Output) technology can improve the frequency band efficiency of wireless communication system, so the application prospect of MIMO technology in underwater acoustic communication is very large. At present, the calculation of underwater acoustic channel capacity mainly includes two methods: field measurement and computer simulation modeling. Underwater acoustic channel modeling is divided into static underwater acoustic propagation model and dynamic stochastic statistical underwater acoustic channel model. However, there are few researches on dynamic underwater acoustic channel capacity model. The underwater acoustic channel capacity simulation model established in this paper is a MIMO channel model based on channel statistics. It is a stochastic and time-varying dynamic model, which is closer to the complex ocean conditions. This channel model is more accurate because it takes into account the physical laws of underwater acoustic propagation, such as transmission loss, bottom surface reflection, multipath effect and Doppler frequency shift, as well as the inevitable random local displacement. In this paper, a channel model of SISO (Single Input Single Output) is built, and its channel capacity is analyzed synthetically. Then the model is extended to MIMO channel, and a lot of simulation experiments are done on Matlab platform. Finally, the channel capacity of MIMO and SISO is compared, and the conclusion is drawn that the MIMO channel can obviously improve the underwater acoustic channel capacity. The effects of signal frequency, signal-to-noise ratio (SNR), transmission bandwidth, transmission distance and depth on the underwater acoustic channel capacity are also analyzed. The time-varying MIMO underwater acoustic channel capacity simulation model not only overcomes the shortcomings of the underwater acoustic channel location uncertainty and environmental conditions, but also effectively improves the channel capacity of underwater acoustic channel. This channel satisfies randomness, is closer to the actual situation, and is easy to monitor in real time. Some conclusions obtained from simulation analysis have important guiding significance in channel performance simulation research, design of underwater acoustic transmission system and actual measurement.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TN929.3

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1 鄧紅超;劉云濤;蔡惠智;;瑞利分布時(shí)變水聲信道仿真與實(shí)驗(yàn)[J];聲學(xué)技術(shù);2009年02期

2 高成志;章新華;李軍;耿剛德;;基于直接序列擴(kuò)頻信號(hào)的水聲信道辨識(shí)仿真[J];系統(tǒng)仿真學(xué)報(bào);2010年01期

3 王s,

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