Therefore this paper proposes the delay equalization algorithm which can both guarantee the qos of high priority traffic and effectively reduce the delay of ubr traffic in broadband satellite network . it is based on the prediction and equalization the delay of vbr or abr traffic so that the saved slots can be allocated to ubr traffic . the approach of dynamic alternation slots between vbr and ubr traffic can improve the mean tdma frame utilization while reducing the delay of ubr traffic 因此本文在基于流量估計的資源調度算法基礎上,提出了一種在寬帶衛星網絡下能夠保證高級別類業務qos ,同時又能夠有效地降低ubr業務時延的時延均衡( delayequalization )調度算法,它是基于對vbr或abr業務時延的預測,均衡時延的方法,保證vbr或者abr業務qos的同時,將節省的時隙分配給ubr業務。
In the technique of pre - processing on night vision images , such algorithms as image registration , non - uniformity correction , image enhancement are mainly studied and realized . an innovatory algorithm of full - scale non - uniformity correction on ir images is presented and an arithmetical progression histogram equalization algorithm in the enhancement of image is validated and developed in this dissertation 在夜視圖像預處理技術方面,主要研究實現了圖像配準、非均勻校正、圖像增強等算法,并創新性地提出了紅外圖像基于全局的非均勻校正算法,驗證并發展了等差數列直方圖均衡圖像增強方法。
The proposed algorithm lows the complexity by choosing decision delay in advance and then making solution of the equalizer tap coefficient , a new decision delay choice method is proposed , solution by using weight method , diagonal matrix transform , z extension and a new energy restrictive condition which restrains noise enhance , a new decision delay choice method is proposed , the simulation result shows that the proposed algorithm has better equalization effect and enhanced performance comparing to the general mmse algorithm , simulation research on the precision and dynamic scope of parameters in digital realization time domain equalization algorithm , design software and hardware of time domain equalizer . fourthly , there exist a lot of interfere in dsl line , especially , dsl works in multi - user mode , the near end interference is serious 通過先選擇判決時延,再進行時域均衡器抽頭系數求解的方法降低了時域均衡計算復雜度;對于均衡器抽頭系數的求解使用了加權技術,通過對角矩陣變換, z擴展,使用不同的能量約束條件對算法求解,結果表明這種約束有效的抑制了噪聲增強,與常用刪se比較,該算法有更佳的均衡效果,算法性能得到了提高:論文還對數字化實現時域均衡算法中每一部分參數的精度、變量的動態范圍進行了模擬研究,對時域均衡的軟硬件實現進行了設計。
The main works of this paper can be summarized as follows : 1 . in this paper , the inherent limitation of cma is studied which greatly affect the convergence properties , variable step size thoeries is put into cma , and several variable step size cm blind equalization algorithm is proposed which can overcome the tradeoff between convergence rate and misadjustment 本文的主要貢獻在于: 1 、本文對制約恒模算法收斂性能提高的因素做了深入分析,將變步長理論應用于恒模算法,得到了一系列恒模改進算法,克服了恒模算法收斂速度和收斂精度之間存在的內在矛盾。
In term of the orthogonal property of alamouti scheme and the character of the ofdm system equivalent model expression of receiver signal for stbc - ofdm system was obtained by flexible transform method so that the inverse of matrix was avoided using direct - decision mode and the complexity of computation and receiver was decreased . the simulation results show the validity and efficiency of the proposed receiver . ( 6 ) an adaptive equalization algorithm used in space - time block coded ofdm ( stbc - ofdm ) system with alamou 該算法充分利用了alamouti編碼的正交特性和多發射天線ofdm系統特點,通過靈活的變換對接收信號進行等價的表示;通過對11矩陣求逆的研究,將塊最小二乘遞推算法( brl )中的zkxzk的矩陣求逆分解為k個2x2矩陣的求逆,從而降低了自適應算法的運算量和接收機的復雜度。
Secondly , introduce discrete multi - tone modulation principle in detail , have a systemic and comprehensive analysis and explanation on minimum mean square error ( mmse ) channel shorten time domain equalizer design methods which are based on all kinds of cost functions , analyze their advantage and disadvantage . research on time domain equalizer structure , compare all the time domain equalization algorithm with simulation which afford a valuable reference for the choice of equalization algorithm and equalizer structure when design time domain equalizer 詳細介紹離散多音頻調制原理,對mmse信道縮短法和基于其他代價函數的時域均衡器設計方法的進行了系統全面的分析和闡述,分析了各自的優缺點;對時域均衡器結構進行研究;仿真比較了各種時域均衡方法,為進行時域均衡器設計時均衡算法、均衡器結構的選擇提供了有價值的參考。
The improved algorithm not only inherits the fast convergence trait from rls and realizable systolic array from qr _ rls , but also eliminates square - root operation and gets directly equalizer output signals from systolic array . so this algorithm has more simple operation , faster executing speed , less hardware resource and lower hardware cost . some different equalization algorithm are imitated on the qpsk communication system with multipath channel 其次對一些成熟的自適應均衡算法(如lms算法、 rls算法、 qr _ rls算法、逆qr _ rls算法)進行了分析;介紹了一種改進后的無平方根的qr _ rls算法,該算法不但繼承了rls的快速收斂特性和qr _ rls算法的systolic陣列可實現性,還取消了qr _ rls算法的平方根運算,使算法在硬件實現時運行速度更快,占用資源也更少,同時該算法還可由systolic陣列直接得到均衡后的輸出信號,運算量更小。
Based on the characteristics of the underwater acoustic channel and channel equalization theory mentioned above , this thesis focuses on the sato and the cma blind equalization algorithms , both of which belong to the bussgang class algorithm . with the work of a lot of computer simulations , the performances of these two algorithms are surveyed from the aspects of equalizer - tap initialization scheme , step - size of the blind algorithms , the order of equalizer , and the signal - to - noise ratio 在水聲多徑信道特性和信道均衡原理的基礎上,本文研究了bussgang盲均衡算法中的sato算法和cma算法,通過大量的計算機仿真工作,采用sato盲算法和cma盲算法對信道進行均衡,分別從均衡器的抽頭初始化方案、盲均衡算法的迭代步長和均衡器的階數以及信噪比幾個方面入手,對sato 、 cma盲均衡算法的性能進行了研究。
This thesis investigates a few of blind equalization algorithms that are broadly used . these equalizers " structures and principles are introduced in detail . the convergence properties of these equalizers applying in certain underwater acoustic channels are analyzed mathematically by computer simulations 本論文對幾種應用比較廣泛的盲均衡算法進行了研究,對它們的原理和結構進行了描述,并且分別對其在特定的水聲信道中的性能進行了理論仿真,得到了滿意的結果,并且對這幾種算法進行了比較。
Tricepstrum equalization algorithm ( btea ) and super - exponential ( se ) algorithm based on block data estimation is studied , and these algorithms use hos explicitly . their performance , such as estimation variance and bias , is analyzed . a kind of sparse cross cumulant and sparse equalizer is proposed to simplify the se algorithm , and the simulating results show efficient reduction in complication ?研究了幾種直接使用高階統計量的算法,包括基于數據段估計的倒三譜算法和超指數算法,分析了算法的估計方差和偏差等性能;由于超指數算法計算量較大,不利于實時均衡,利用水聲信道的稀疏性,提出了一種基于稀疏互四階累積量和稀疏權的算法,有效降低了超指數算法的計算量。