{"title":"Extraction of Pulse Repetition Interval Based on Incomplete, Noisy TOA Measurements by the Moving Passive Receiver","authors":"Yang Liu, F. Guo, M. Zhang, Wenli Jiang","doi":"10.1109/SSPD.2015.7288502","DOIUrl":null,"url":null,"abstract":"This paper investigates the problem of extracting the pulse repetition interval (PRI) of stationary pulsed radar emitter from noisy time of arrival(TOA) measurements with missing observations (incomplete) by the moving receiver. The relative motion between the receiver and emitter induces the large estimation bias to estimate PRI, we first discuss the conditions on which identifying the period integer numbers under the circumstance of relative movement, then propose two robust algorithms based on compensating delay of each observations on emitter's status space grids. The proposed algorithms can efficiently reduce the estimation bias introduced by model mismatch without the requirement of specific emitter location information. Simulation studies indicates that the proposed solutions can improve the PRI estimation accuracy.","PeriodicalId":212668,"journal":{"name":"2015 Sensor Signal Processing for Defence (SSPD)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Sensor Signal Processing for Defence (SSPD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSPD.2015.7288502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper investigates the problem of extracting the pulse repetition interval (PRI) of stationary pulsed radar emitter from noisy time of arrival(TOA) measurements with missing observations (incomplete) by the moving receiver. The relative motion between the receiver and emitter induces the large estimation bias to estimate PRI, we first discuss the conditions on which identifying the period integer numbers under the circumstance of relative movement, then propose two robust algorithms based on compensating delay of each observations on emitter's status space grids. The proposed algorithms can efficiently reduce the estimation bias introduced by model mismatch without the requirement of specific emitter location information. Simulation studies indicates that the proposed solutions can improve the PRI estimation accuracy.