{"title":"空间频谱估计算法的研究与仿真","authors":"Yang Zhifei, Wang Yanqing, Wang Lei","doi":"10.1109/IASP.2010.5476061","DOIUrl":null,"url":null,"abstract":"The spatial spectrum indicates the signal's energy distribution in all directions. If we can get the signal's spatial spectrum, then the signal's direction of arrival (DOA) is known. The paper makes researches on the spatial spectrum estimation algorithms for uniform linear array, and establishes three mathematical models of MUSIC, ESPRIT and Capon. Moreover, with different ranges of SNR, the paper simulates the passive direction finding on non-associated narrow-band signals, and measured the performance by MSE. By simulation, the paper analyzes the computation consumption, resolution and signal types which can deal with for these three algorithms. Moreover, we compare their estimation abilities and summarizes their advantages and disadvantages in different engineering requirements.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research and simulation of spatial spectrum estimation algorithm\",\"authors\":\"Yang Zhifei, Wang Yanqing, Wang Lei\",\"doi\":\"10.1109/IASP.2010.5476061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The spatial spectrum indicates the signal's energy distribution in all directions. If we can get the signal's spatial spectrum, then the signal's direction of arrival (DOA) is known. The paper makes researches on the spatial spectrum estimation algorithms for uniform linear array, and establishes three mathematical models of MUSIC, ESPRIT and Capon. Moreover, with different ranges of SNR, the paper simulates the passive direction finding on non-associated narrow-band signals, and measured the performance by MSE. By simulation, the paper analyzes the computation consumption, resolution and signal types which can deal with for these three algorithms. Moreover, we compare their estimation abilities and summarizes their advantages and disadvantages in different engineering requirements.\",\"PeriodicalId\":223866,\"journal\":{\"name\":\"2010 International Conference on Image Analysis and Signal Processing\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Image Analysis and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IASP.2010.5476061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2010.5476061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and simulation of spatial spectrum estimation algorithm
The spatial spectrum indicates the signal's energy distribution in all directions. If we can get the signal's spatial spectrum, then the signal's direction of arrival (DOA) is known. The paper makes researches on the spatial spectrum estimation algorithms for uniform linear array, and establishes three mathematical models of MUSIC, ESPRIT and Capon. Moreover, with different ranges of SNR, the paper simulates the passive direction finding on non-associated narrow-band signals, and measured the performance by MSE. By simulation, the paper analyzes the computation consumption, resolution and signal types which can deal with for these three algorithms. Moreover, we compare their estimation abilities and summarizes their advantages and disadvantages in different engineering requirements.