{"title":"雷达系统对抗智能噪声干扰器的 ECCM 战略","authors":"Dario Benvenuti;Pia Addabbo;Gaetano Giunta;Goffredo Foglia;Danilo Orlando","doi":"10.1109/TSP.2024.3445530","DOIUrl":null,"url":null,"abstract":"In this paper, we address the problem of detecting a Noise-Like Jammer (NLJ) that does not quickly transmit all the available power but it gradually increases the transmitted power. This control strategy would prevent conventional electronic counter-countermeasures from revealing the presence of a noise power discontinuity in the window under test. As a consequence, the radar system under attack becomes blind requiring a reaction by an expert operator. In order to face such a situation, we devise two innovative NLJ detection architectures by assuming at the design stage specific models for the NLJ power variation. The first model is based on a linear variation law over the observation time, whereas in the second model, the NLJ power experiences unconstrained fluctuations in the window under test. Under these hypotheses, we resort to ad hoc modifications of the generalized likelihood ratio test, where the unknown parameters are replaced by suitable estimates obtained through iterative procedures. The performance analysis, carried out using synthetic data, shows the effectiveness and superiority of the proposed detectors over the conventional approach.","PeriodicalId":13330,"journal":{"name":"IEEE Transactions on Signal Processing","volume":"72 ","pages":"3912-3926"},"PeriodicalIF":4.6000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ECCM Strategies for Radar Systems Against Smart Noise-Like Jammers\",\"authors\":\"Dario Benvenuti;Pia Addabbo;Gaetano Giunta;Goffredo Foglia;Danilo Orlando\",\"doi\":\"10.1109/TSP.2024.3445530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we address the problem of detecting a Noise-Like Jammer (NLJ) that does not quickly transmit all the available power but it gradually increases the transmitted power. This control strategy would prevent conventional electronic counter-countermeasures from revealing the presence of a noise power discontinuity in the window under test. As a consequence, the radar system under attack becomes blind requiring a reaction by an expert operator. In order to face such a situation, we devise two innovative NLJ detection architectures by assuming at the design stage specific models for the NLJ power variation. The first model is based on a linear variation law over the observation time, whereas in the second model, the NLJ power experiences unconstrained fluctuations in the window under test. Under these hypotheses, we resort to ad hoc modifications of the generalized likelihood ratio test, where the unknown parameters are replaced by suitable estimates obtained through iterative procedures. The performance analysis, carried out using synthetic data, shows the effectiveness and superiority of the proposed detectors over the conventional approach.\",\"PeriodicalId\":13330,\"journal\":{\"name\":\"IEEE Transactions on Signal Processing\",\"volume\":\"72 \",\"pages\":\"3912-3926\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Signal Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10639354/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Signal Processing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10639354/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
ECCM Strategies for Radar Systems Against Smart Noise-Like Jammers
In this paper, we address the problem of detecting a Noise-Like Jammer (NLJ) that does not quickly transmit all the available power but it gradually increases the transmitted power. This control strategy would prevent conventional electronic counter-countermeasures from revealing the presence of a noise power discontinuity in the window under test. As a consequence, the radar system under attack becomes blind requiring a reaction by an expert operator. In order to face such a situation, we devise two innovative NLJ detection architectures by assuming at the design stage specific models for the NLJ power variation. The first model is based on a linear variation law over the observation time, whereas in the second model, the NLJ power experiences unconstrained fluctuations in the window under test. Under these hypotheses, we resort to ad hoc modifications of the generalized likelihood ratio test, where the unknown parameters are replaced by suitable estimates obtained through iterative procedures. The performance analysis, carried out using synthetic data, shows the effectiveness and superiority of the proposed detectors over the conventional approach.
期刊介绍:
The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.