{"title":"Sensitivity Optimisation of Real-Time Adaptive Range-Doppler Processing in FM Passive Radar","authors":"J. Sendall, F. Maasdorp, C. Tong","doi":"10.1109/RADAR.2018.8557294","DOIUrl":null,"url":null,"abstract":"This paper analyses the performance of adaptive processing algorithms, applied in the range-Doppler domain, for a frequency modulation (FM) based passive radar system, in terms of the processing efficiency, sensitivity and ultimately, detection performance. The algorithms are intended to be applied in a permanently installed passive-radar network and to this end, real-time signal processing considerations are also discussed. The processing methods are evaluated on a data set measured using the passive-radar network and the performance and shortcomings of each method are analysed. It is found that a hybrid Matching Pursuit (MP) method consistently produces the best results, while maintaining reasonable processing and memory requirements for the real-time processing chain. Using Orthogonal Matching Pursuit (OMP) resulted in highest overall probability of detection (Pd), 31 % higher (SNR increased by 11.8 dB) than a conventional matched filter.","PeriodicalId":187176,"journal":{"name":"2018 International Conference on Radar (RADAR)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Radar (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2018.8557294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper analyses the performance of adaptive processing algorithms, applied in the range-Doppler domain, for a frequency modulation (FM) based passive radar system, in terms of the processing efficiency, sensitivity and ultimately, detection performance. The algorithms are intended to be applied in a permanently installed passive-radar network and to this end, real-time signal processing considerations are also discussed. The processing methods are evaluated on a data set measured using the passive-radar network and the performance and shortcomings of each method are analysed. It is found that a hybrid Matching Pursuit (MP) method consistently produces the best results, while maintaining reasonable processing and memory requirements for the real-time processing chain. Using Orthogonal Matching Pursuit (OMP) resulted in highest overall probability of detection (Pd), 31 % higher (SNR increased by 11.8 dB) than a conventional matched filter.