{"title":"基于高精度微波测距的分布式无线系统定位","authors":"Serge R. Mghabghab, J. Nanzer","doi":"10.1109/APWC52648.2021.9539760","DOIUrl":null,"url":null,"abstract":"We present a high-accuracy localization approach for estimating the positions of elements in a distributed phased array to support distributed beamforming. The approach is based on a spectrally-sparse, high-accuracy microwave ranging method and time of arrival (TOA) estimation between three receiving antennas. The ranging approach leverages a spectrally-sparse waveform that achieves near-optimal range accuracies on the order of 5 mm with a 9 MHz waveform bandwidth implemented at C-band. We implement the approach in software-defined radios, and demonstrate localization accuracy below 5 cm with a receiving array area more than an order of magnitude smaller than other approaches.","PeriodicalId":253455,"journal":{"name":"2021 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Localization in Distributed Wireless Systems Based on High-Accuracy Microwave Ranging\",\"authors\":\"Serge R. Mghabghab, J. Nanzer\",\"doi\":\"10.1109/APWC52648.2021.9539760\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a high-accuracy localization approach for estimating the positions of elements in a distributed phased array to support distributed beamforming. The approach is based on a spectrally-sparse, high-accuracy microwave ranging method and time of arrival (TOA) estimation between three receiving antennas. The ranging approach leverages a spectrally-sparse waveform that achieves near-optimal range accuracies on the order of 5 mm with a 9 MHz waveform bandwidth implemented at C-band. We implement the approach in software-defined radios, and demonstrate localization accuracy below 5 cm with a receiving array area more than an order of magnitude smaller than other approaches.\",\"PeriodicalId\":253455,\"journal\":{\"name\":\"2021 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWC52648.2021.9539760\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWC52648.2021.9539760","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Localization in Distributed Wireless Systems Based on High-Accuracy Microwave Ranging
We present a high-accuracy localization approach for estimating the positions of elements in a distributed phased array to support distributed beamforming. The approach is based on a spectrally-sparse, high-accuracy microwave ranging method and time of arrival (TOA) estimation between three receiving antennas. The ranging approach leverages a spectrally-sparse waveform that achieves near-optimal range accuracies on the order of 5 mm with a 9 MHz waveform bandwidth implemented at C-band. We implement the approach in software-defined radios, and demonstrate localization accuracy below 5 cm with a receiving array area more than an order of magnitude smaller than other approaches.