本文選題：雷達傳感器網絡 + 多目標分辨�。� 參考：《電子科技大學》2014年碩士論文

【摘要】：雷達傳感器網絡(Radar Sensor Network,RSN)是由多個雷達傳感器(Radar Sensor,RS)組合而成,其模式可分為分布式RSN和集中式RSN系統(tǒng),由于相對集中式,分布式具有工程簡單、系統(tǒng)靈敏度高以及遮蔽效果較小等諸多優(yōu)點,使其在軍事以及交通等眾多領域,引起了足夠的重視,其未來應用前景也是非常值得期待的。多目標分辨檢測能力是RSN的綜合體現之一,直接關系到RSN系統(tǒng)靈敏度、準確度等多個重要工作指標,然而現有RSN系統(tǒng)中少有從RSN實際分布情況及發(fā)射波分辨角度來考慮RSN的多目標分辨問題。因此,針對RSN的多目標分辨,本文工作主要包括:1.本文首先介紹了雷達信號處理系統(tǒng)中所需要的基礎知識,包括脈沖壓縮、匹配濾波、不同波形的介紹及分析等;為了研究RSN中波形的多目標分辨,對每種信號的模糊函數進行分析和研究;分析RSN的信道特性,考慮信道衰落與噪聲影響,建立RSN信道模型;介紹RSN信息融合的方法及理論,選擇合適的融合方式。2.為研究RSN的多目標分辨問題,建立RSN分析模型,研究其多目標分辨情況。該模型考慮到雷達的發(fā)射波束(Beam),根據分布式RSN的工作特點,結合協(xié)同工作狀態(tài)的RSs,給出RSN的多目標分辨條件,結果證明對于相同目標的情況,RSN具有更多的觀測方位和角度,其系統(tǒng)的多目標分辨狀態(tài)不單單是相對獨立的RSs的集合,其分辨行性能要比單個RS優(yōu)越很多。此外給定三種不同形式的雷達發(fā)射信號,分別對它們的多目標分辨能力進行了研究。3.建立RSN的多目標分辨仿真模型,在Path-loss及高斯白噪聲的環(huán)境下,RSN融合中心利用最大似然比(LR)的判決準則,對RSN模型的系統(tǒng)檢測和分辨性能做了綜合仿真和對比,并對三種波形的多目標檢測分辨能力進行了對比,并給出仿真結果;結果中顯示雷達檢測性能分別與信噪比SNR、RS個數以及目標個數的影響關系,LFM信號的檢測分辨能力最好。4.建立一種多目標高距離分辨的RSN模型,分析RSN和目標角度與位置的幾何關系,使用LFM信號,通過對信號模糊函數的推導,給出該模型下的多目標時域(即距離)分辨條件,仿真結果展示該模型的多目標分辨情況,并且對比了不同雷達和目標情況下該模型多目標分辨的結果。
[Abstract]:Radar Sensor Network (RSNN) is composed of several radar sensors (Radar Sensor RSs). Its modes can be divided into distributed RSN and centralized RSN systems. Because of its high sensitivity and low shielding effect, the system has attracted enough attention in many fields, such as military and traffic, and its future application prospect is also worth looking forward to. The ability of multi-target resolution detection is one of the comprehensive embodiment of RSN, which is directly related to the sensitivity and accuracy of RSN system. However, in existing RSN systems, the multi-target resolution problem of RSN is rarely considered from the actual distribution of RSN and the angle of emission wave resolution. Therefore, for the multiple target resolution of RSN, the work in this paper mainly includes: 1. This paper first introduces the basic knowledge needed in radar signal processing system, including pulse compression, matched filtering, introduction and analysis of different waveforms, etc. Analyze and study the ambiguity function of each signal, analyze the channel characteristics of RSN, consider the influence of channel fading and noise, establish the RSN channel model, introduce the method and theory of RSN information fusion, choose the appropriate fusion mode. 2. In order to study the multi-target resolution problem of RSN, a RSN analysis model is established and its multi-target resolution is studied. In this model, considering the beam-beam of radar, according to the working characteristics of distributed RSN, combined with RSsof cooperative working state, the multi-target resolution condition of RSN is given. The results show that RSN has more observation azimuth and angle for the same target. The multi-target resolution state of the system is not only the set of the relative independent RSs, but also the performance of the row resolution is much better than that of the single RS. In addition, given three different types of radar transmit signals, their multi-target resolution is studied respectively. The multi-target resolution simulation model of RSN is established. In the environment of Path-loss and Gao Si white noise, the system detection and resolution performance of RSN model is simulated and compared by using the maximum likelihood ratio (LRR) criterion. The detection and resolution ability of the three kinds of waveforms is compared and the simulation results show that the detection performance of radar depends on the number of SNR SNR RS and the number of targets respectively. The detection and resolution ability of LFM signal is the best. 4. A high range resolution RSN model with multiple targets is established, and the geometric relationship between RSN and target angle and position is analyzed. By using LFM signal, the time domain (distance) resolution condition of multiple targets is given by deducing the ambiguity function of the signal. The simulation results show the multi-target resolution of the model, and the results of multi-target resolution under different radar and target conditions are compared.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN957.51

【參考文獻】

相關碩士學位論文 前1條

1 盛建鋒;相位編碼雷達信號處理及其性能分析[D];南京理工大學;2004年

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本文編號：1999358