{"title":"一种鲁棒室内定位的时域特征值方法","authors":"G. Godaliyadda, H. K. Garg","doi":"10.1109/WTS.2010.5479664","DOIUrl":null,"url":null,"abstract":"The hazardous nature of the indoor environment and the rapid growth of commercial indoor positioning systems have placed a significant emphasis on developing robust localization techniques. Our work focuses on developing super resolution techniques that can provide accurate time delay estimates under line-of-sight (LOS) conditions and generation of location information rich fingerprints that can be utilized for localization under non LOS conditions. First a detailed behavioral analysis of the subspace separation based super resolution algorithms is presented. Then we examine the newly introduced time domain eigen-value (TD-EV) method which effectively combines the time domain multiple signal classification (TD-MUSIC) and the frequency domain eigen-value (FD-EV) algorithms. This is done to secure the bandwidth versatility, superior path resolvability, and noise immunity of TD-MUSIC algorithm and FD-EV's ability to resurface underestimated local peaks submerged beneath the noise floor under constrained conditions. This makes TD-EV a prime candidate for accurate time delay estimation under severe multi-path and noise conditions prevalent in indoor environments. Additionally, these attributes provide a location information rich fingerprint from the resultant pseudo-spectrum output of our method for location based fingerprinting techniques.","PeriodicalId":117027,"journal":{"name":"2010 Wireless Telecommunications Symposium (WTS)","volume":"46 Suppl 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A time domain eigen value method for robust indoor localization\",\"authors\":\"G. Godaliyadda, H. K. Garg\",\"doi\":\"10.1109/WTS.2010.5479664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The hazardous nature of the indoor environment and the rapid growth of commercial indoor positioning systems have placed a significant emphasis on developing robust localization techniques. Our work focuses on developing super resolution techniques that can provide accurate time delay estimates under line-of-sight (LOS) conditions and generation of location information rich fingerprints that can be utilized for localization under non LOS conditions. First a detailed behavioral analysis of the subspace separation based super resolution algorithms is presented. Then we examine the newly introduced time domain eigen-value (TD-EV) method which effectively combines the time domain multiple signal classification (TD-MUSIC) and the frequency domain eigen-value (FD-EV) algorithms. This is done to secure the bandwidth versatility, superior path resolvability, and noise immunity of TD-MUSIC algorithm and FD-EV's ability to resurface underestimated local peaks submerged beneath the noise floor under constrained conditions. This makes TD-EV a prime candidate for accurate time delay estimation under severe multi-path and noise conditions prevalent in indoor environments. Additionally, these attributes provide a location information rich fingerprint from the resultant pseudo-spectrum output of our method for location based fingerprinting techniques.\",\"PeriodicalId\":117027,\"journal\":{\"name\":\"2010 Wireless Telecommunications Symposium (WTS)\",\"volume\":\"46 Suppl 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Wireless Telecommunications Symposium (WTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WTS.2010.5479664\",\"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 Wireless Telecommunications Symposium (WTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WTS.2010.5479664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A time domain eigen value method for robust indoor localization
The hazardous nature of the indoor environment and the rapid growth of commercial indoor positioning systems have placed a significant emphasis on developing robust localization techniques. Our work focuses on developing super resolution techniques that can provide accurate time delay estimates under line-of-sight (LOS) conditions and generation of location information rich fingerprints that can be utilized for localization under non LOS conditions. First a detailed behavioral analysis of the subspace separation based super resolution algorithms is presented. Then we examine the newly introduced time domain eigen-value (TD-EV) method which effectively combines the time domain multiple signal classification (TD-MUSIC) and the frequency domain eigen-value (FD-EV) algorithms. This is done to secure the bandwidth versatility, superior path resolvability, and noise immunity of TD-MUSIC algorithm and FD-EV's ability to resurface underestimated local peaks submerged beneath the noise floor under constrained conditions. This makes TD-EV a prime candidate for accurate time delay estimation under severe multi-path and noise conditions prevalent in indoor environments. Additionally, these attributes provide a location information rich fingerprint from the resultant pseudo-spectrum output of our method for location based fingerprinting techniques.