A. A. Ahmad, M. Ajiya, Lawal Mohammed Bello, Zainab Yunusa Yusuf
{"title":"Comparison of Various Instantaneous Power Methods for the Estimation of Time-Parameters of Poly Phase Coded Radar Signal","authors":"A. A. Ahmad, M. Ajiya, Lawal Mohammed Bello, Zainab Yunusa Yusuf","doi":"10.1109/NigeriaComputConf45974.2019.8949625","DOIUrl":null,"url":null,"abstract":"Key feature of the electronic intelligence (ELINT) setup as part of the electronic warfare is the interception and analysis of radar signals. This paper as part of ELINT provides a time parameter estimation algorithm associated with poly-phase pulsed radar signal of low probability of intercept (LPI) in a non-cooperative environment in order to identify its other characteristics. Three different methods based on power obtained at instants of time are used. The first two are obtained from the time-aspect approximation of a time-frequency distribution (TFD) while the third one is the traditional method of using its conjugate form. The main TFD used in this paper is Wigner-Ville distribution (WVD) of separable kernel and its brief heuristic approach was presented. Thereafter, an algorithm based on measuring the time-spectrum width is developed so as to determine two basic time parameter of the radar signal; either the pulse width (PW) or the pulse repetition period (PRP). The quality of the algorithm developed is tested at various signal-to-noise ratios (SNRs) in the presence of noise modeled by pseudorandom numbers of Gaussian nature. The Result obtained shows that for a fixed threshold of 37.5%, power at instants of time obtained from the TFD performs best at minimum SNR of −15 dB. The traditional method of getting power at instants of time performs very well if a variable threshold is applied at minimum SNR of −11 dB. The results shows that the proposed methods may be deployed in the practical ELINT field for analysis of radar signal","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949625","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Key feature of the electronic intelligence (ELINT) setup as part of the electronic warfare is the interception and analysis of radar signals. This paper as part of ELINT provides a time parameter estimation algorithm associated with poly-phase pulsed radar signal of low probability of intercept (LPI) in a non-cooperative environment in order to identify its other characteristics. Three different methods based on power obtained at instants of time are used. The first two are obtained from the time-aspect approximation of a time-frequency distribution (TFD) while the third one is the traditional method of using its conjugate form. The main TFD used in this paper is Wigner-Ville distribution (WVD) of separable kernel and its brief heuristic approach was presented. Thereafter, an algorithm based on measuring the time-spectrum width is developed so as to determine two basic time parameter of the radar signal; either the pulse width (PW) or the pulse repetition period (PRP). The quality of the algorithm developed is tested at various signal-to-noise ratios (SNRs) in the presence of noise modeled by pseudorandom numbers of Gaussian nature. The Result obtained shows that for a fixed threshold of 37.5%, power at instants of time obtained from the TFD performs best at minimum SNR of −15 dB. The traditional method of getting power at instants of time performs very well if a variable threshold is applied at minimum SNR of −11 dB. The results shows that the proposed methods may be deployed in the practical ELINT field for analysis of radar signal