基于數(shù)據(jù)刪失的無線傳感器網(wǎng)絡低復雜度信道估計
發(fā)布時間：2024-07-08 18:27
無線傳感器網(wǎng)絡近年來發(fā)展迅速,由于其具有體積小、自組織性、布置速度快、容錯性強等優(yōu)良性能以及眾多的應用領域,現(xiàn)在已經(jīng)成為了無線通信網(wǎng)絡中最重要的組成部分之一。在健康方面,無線傳感器可作為探測器進入人的身體或附著于身體表面,幫助醫(yī)生診斷病情或治療疾病;在農(nóng)業(yè)方面,推進智能農(nóng)業(yè)的進步與發(fā)展,方便農(nóng)民,通過對農(nóng)田、作物數(shù)據(jù)的實時分析,合理規(guī)劃,增加產(chǎn)量;在工業(yè)上,可作為工業(yè)監(jiān)控,監(jiān)控工業(yè)生產(chǎn)中的各項指標,保證安全,提高產(chǎn)品合格率;氣象預測上,由于無線傳感器網(wǎng)絡的自組織性與快速布置性,傳感器布置更方便,對地形要求更低,所獲取的信息更全面,整體上可以提高氣象預測的準確度;在軍事上,戰(zhàn)場環(huán)境的偵察、無人值守等都是無線傳感網(wǎng)絡的應用場景。然而,在應用這項技術的過程中,一些潛在的限制也在不斷地被發(fā)現(xiàn),比如電池續(xù)航能力的限制、測量精度的限制、帶寬限制等。其中最重要的限制之一便是數(shù)據(jù)傳輸過程、數(shù)據(jù)處理過程中的能量消耗。眾所周知,無線傳感器網(wǎng)絡的節(jié)點是由電力驅(qū)動的,由于其無線、快速布置的性質(zhì)使其不得不使用電池的電力能源,而無法選擇有線電力傳輸。在電能受限的條件下,延長無線傳感器網(wǎng)絡的使用壽命、提高傳輸效率對...
【文章頁數(shù)】：64 頁
【學位級別】：碩士
【文章目錄】：
摘要
ABSTRACT
Acknowledgement
Nomenclature
Chapter 1 Introduction
1.1 Background
1.2 Propose and Motivation
1.3 Contributions
1.4 Dissertation Outline
Chapter 2 Literature Review
2.1 The Applications of WSNs and Design Factors
2.2 Adaptive Filtering Algorithms
2.3 Channel Estimation Algorithms
2.4 Data Censoring Techniques for WSNs
2.5 Summary
Chapter 3 Cooperative WSN System Model with Data Censoring
3.1 Cooperative WSN System with Data Censoring
3.2 Data Censoring Schemes
3.2.1 NAC scheme
3.2.2 AC scheme
3.3 Channel Estimation Framework with NAC and AC
3.4 Summary
Chapter 4 Proposed Channel Estimation Algorithms with NAC
4.1 SGD-MLE Algorithm with NAC
4.2 Newton-MLE Algorithm with NAC
4.3 Censoring Ratio Analysis with NAC
4.4 Simulations
4.4.1 MSE Performance
4.4.2 Verification of the CR Analysis
4.5 Summary
Chapter 5 Proposed Channel Estimation Algorithms with AC
5.1 LMS Algorithm with AC
5.2 SM-NLMS Algorithm with AC
5.3 RLS Algorithm with AC
5.4 Censoring Ratio Analysis for AC schemes
5.5 Computational Complexity Analysis
5.6 Simulations
5.6.1 MSE Performance
5.6.2 Verification of the CR Analysis
5.7 Summary
Conclusions
References
Author’s Publications
本文編號：4003691
【文章頁數(shù)】：64 頁
【學位級別】：碩士
【文章目錄】：
摘要
ABSTRACT
Acknowledgement
Nomenclature
Chapter 1 Introduction
1.1 Background
1.2 Propose and Motivation
1.3 Contributions
1.4 Dissertation Outline
Chapter 2 Literature Review
2.1 The Applications of WSNs and Design Factors
2.2 Adaptive Filtering Algorithms
2.3 Channel Estimation Algorithms
2.4 Data Censoring Techniques for WSNs
2.5 Summary
Chapter 3 Cooperative WSN System Model with Data Censoring
3.1 Cooperative WSN System with Data Censoring
3.2 Data Censoring Schemes
3.2.1 NAC scheme
3.2.2 AC scheme
3.3 Channel Estimation Framework with NAC and AC
3.4 Summary
Chapter 4 Proposed Channel Estimation Algorithms with NAC
4.1 SGD-MLE Algorithm with NAC
4.2 Newton-MLE Algorithm with NAC
4.3 Censoring Ratio Analysis with NAC
4.4 Simulations
4.4.1 MSE Performance
4.4.2 Verification of the CR Analysis
4.5 Summary
Chapter 5 Proposed Channel Estimation Algorithms with AC
5.1 LMS Algorithm with AC
5.2 SM-NLMS Algorithm with AC
5.3 RLS Algorithm with AC
5.4 Censoring Ratio Analysis for AC schemes
5.5 Computational Complexity Analysis
5.6 Simulations
5.6.1 MSE Performance
5.6.2 Verification of the CR Analysis
5.7 Summary
Conclusions
References
Author’s Publications
本文編號：4003691
本文鏈接：http://www.wukwdryxk.cn/kejilunwen/xinxigongchenglunwen/4003691.html
最近更新
教材專著
