HASPA算法在多天线雷达信号处理中的实现

2016 International Conference on Microelectronics, Computing and Communications (MicroCom) Pub Date : 1900-01-01 DOI:10.1109/MICROCOM.2016.7522457

J. Das, P. Venkateswaran

{"title":"HASPA算法在多天线雷达信号处理中的实现","authors":"J. Das, P. Venkateswaran","doi":"10.1109/MICROCOM.2016.7522457","DOIUrl":null,"url":null,"abstract":"Specific algorithm simplifies the critical hardware requirement for smart signal processing applications. HASPA is such supervised ANN learning algorithm that specifically designed for multiple antenna based RADAR signal processing. The algorithm is based on the principle of spatial hearing of the Human Auditory Signal Processing System. In the processor, received signal from multiple sources are converted into compatible format and then suitably compared with themselves and with restored training sources. From the output data of the processor, different conclusions are made about the signal sources. The algorithm has been implemented in three steps with Linux Ubuntu based FORTRAN media and tested with the received signals of multiple antenna based tracking system. Test procedure and results have been presented and found to be satisfactory.","PeriodicalId":118902,"journal":{"name":"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implementation of HASPA algorithm for multiple antenna based RADAR signal processing\",\"authors\":\"J. Das, P. Venkateswaran\",\"doi\":\"10.1109/MICROCOM.2016.7522457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Specific algorithm simplifies the critical hardware requirement for smart signal processing applications. HASPA is such supervised ANN learning algorithm that specifically designed for multiple antenna based RADAR signal processing. The algorithm is based on the principle of spatial hearing of the Human Auditory Signal Processing System. In the processor, received signal from multiple sources are converted into compatible format and then suitably compared with themselves and with restored training sources. From the output data of the processor, different conclusions are made about the signal sources. The algorithm has been implemented in three steps with Linux Ubuntu based FORTRAN media and tested with the received signals of multiple antenna based tracking system. Test procedure and results have been presented and found to be satisfactory.\",\"PeriodicalId\":118902,\"journal\":{\"name\":\"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Microelectronics, Computing and Communications (MicroCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MICROCOM.2016.7522457\",\"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 International Conference on Microelectronics, Computing and Communications (MicroCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICROCOM.2016.7522457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

特定的算法简化了智能信号处理应用的关键硬件要求。HASPA是专门为基于多天线的雷达信号处理而设计的监督式人工神经网络学习算法。该算法基于人类听觉信号处理系统的空间听觉原理。在处理器中，将接收到的多个源信号转换成兼容的格式，然后与自身和恢复的训练源进行适当的比较。从处理器的输出数据可以得出不同的信号源结论。该算法在基于Linux Ubuntu的FORTRAN介质上分三步实现，并在基于多天线的跟踪系统接收信号中进行了测试。提出了试验程序和试验结果，结果令人满意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Implementation of HASPA algorithm for multiple antenna based RADAR signal processing

Specific algorithm simplifies the critical hardware requirement for smart signal processing applications. HASPA is such supervised ANN learning algorithm that specifically designed for multiple antenna based RADAR signal processing. The algorithm is based on the principle of spatial hearing of the Human Auditory Signal Processing System. In the processor, received signal from multiple sources are converted into compatible format and then suitably compared with themselves and with restored training sources. From the output data of the processor, different conclusions are made about the signal sources. The algorithm has been implemented in three steps with Linux Ubuntu based FORTRAN media and tested with the received signals of multiple antenna based tracking system. Test procedure and results have been presented and found to be satisfactory.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 International Conference on Microelectronics, Computing and Communications (MicroCom)

自引率

0.00%

发文量