{"title":"Pulsed communication adaptive array processing","authors":"D. Farina, S. Kesler","doi":"10.1109/NTC.1992.267896","DOIUrl":null,"url":null,"abstract":"The application of adaptive arrays to communications is addressed for the specific case of known pulsed desired signal transition times. From this information, the adaptive antenna weights that beam up on the desired signal can be determined. Previously proposed approaches work well when the thermal noise power level and interferer power levels are constant versus time, i.e., the scenario is stationary. But these approaches degrade seriously when the environment is not stationary. The authors present extensions to conventional processing to allow for near-ideal performance with large variations in thermal noise and/or interferer power levels. Computer simulations verify that the algorithm is effective even for very large (>20 dB) changes in power levels.<<ETX>>","PeriodicalId":448154,"journal":{"name":"[Proceedings] NTC-92: National Telesystems Conference","volume":"70 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] NTC-92: National Telesystems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTC.1992.267896","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
The application of adaptive arrays to communications is addressed for the specific case of known pulsed desired signal transition times. From this information, the adaptive antenna weights that beam up on the desired signal can be determined. Previously proposed approaches work well when the thermal noise power level and interferer power levels are constant versus time, i.e., the scenario is stationary. But these approaches degrade seriously when the environment is not stationary. The authors present extensions to conventional processing to allow for near-ideal performance with large variations in thermal noise and/or interferer power levels. Computer simulations verify that the algorithm is effective even for very large (>20 dB) changes in power levels.<>
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