{"title":"MIMO雷达最坏干扰信号设计与避免","authors":"Tuomas Aittomäki, V. Koivunen","doi":"10.1109/EUSIPCO.2016.7760643","DOIUrl":null,"url":null,"abstract":"We optimize the jamming signal for disrupting the operation of a MIMO radar system in order to understand the threat jamming poses to such systems. The jamming signal optimization is formulated as a minimax problem minimizing the maximum SINR that the receivers can achieve, resulting in a semidefinite program for a Toeplitz jamming covariance matrix or a second-order cone program for a circulant approximation. In the simplest case of optimizing the average SINR of a single receiver, a waterfilling-type solution is obtained. Numerical studies suggest that distributed radar systems with waveform agility and mismatched filtering capabilities are resilient against jamming.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Worst-case jamming signal design and avoidance for MIMO radars\",\"authors\":\"Tuomas Aittomäki, V. Koivunen\",\"doi\":\"10.1109/EUSIPCO.2016.7760643\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We optimize the jamming signal for disrupting the operation of a MIMO radar system in order to understand the threat jamming poses to such systems. The jamming signal optimization is formulated as a minimax problem minimizing the maximum SINR that the receivers can achieve, resulting in a semidefinite program for a Toeplitz jamming covariance matrix or a second-order cone program for a circulant approximation. In the simplest case of optimizing the average SINR of a single receiver, a waterfilling-type solution is obtained. Numerical studies suggest that distributed radar systems with waveform agility and mismatched filtering capabilities are resilient against jamming.\",\"PeriodicalId\":127068,\"journal\":{\"name\":\"2016 24th European Signal Processing Conference (EUSIPCO)\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 24th European Signal Processing Conference (EUSIPCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EUSIPCO.2016.7760643\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 24th European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EUSIPCO.2016.7760643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Worst-case jamming signal design and avoidance for MIMO radars
We optimize the jamming signal for disrupting the operation of a MIMO radar system in order to understand the threat jamming poses to such systems. The jamming signal optimization is formulated as a minimax problem minimizing the maximum SINR that the receivers can achieve, resulting in a semidefinite program for a Toeplitz jamming covariance matrix or a second-order cone program for a circulant approximation. In the simplest case of optimizing the average SINR of a single receiver, a waterfilling-type solution is obtained. Numerical studies suggest that distributed radar systems with waveform agility and mismatched filtering capabilities are resilient against jamming.