低截获概率信号的空时频联合检测与参数估计方法研究

项目名称： 低截获概率信号的空时频联合检测与参数估计方法研究

项目编号： No.61271300

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 刘聪锋

作者单位： 西安电子科技大学

项目金额： 60万元

中文摘要： 在现代雷达和通信系统中，为了信息保密和反侦察，几乎都采用了低截获概率(LPI)技术，这为我军侦察增加了难度和挑战，进而影响后续的作战决策和效果。传统LPI信号检测与参数估计大都利用信号的时域或频域特性，进而在时域或频域进行积累以提高检测性能，或利用时频分析法在时频域进行。然而LPI信号的出现和发展就是为了反侦察或称为降低敌方截获概率，而且通常利用频谱扩展或短时触发等措施来降低敌方发现的概率。因此LPI信号的有效检测和参数估计就成为当前电子侦察的重点和难点，也是制约其发展的瓶颈。本项目主要研究LPI信号的空时频多维域联合检测和参数估计方法，即充分利用阵列天线的空间积累优势，突破传统主要集中在时域或频域处理的限制，通过引入空域并实现空时频的联合处理来进一步挖掘LPI信号的检测与参数估计潜力。本项目的研究对于提高LPI信号的侦测性能，进而提高我军的电子侦察技术都具有十分重要的军事意义和应用价值。

中文关键词： 电子侦察；低截获概率信号；空时频联合处理；阵列信号处理；信号检测与参数估计

英文摘要： In the modern radar and communication system, in order to keep information secret and to go on anti reconnaissance, low intercept probability technology is widely used, which increases the difficulty and challenges for our military reconnaissance and finally influence subsequent combat decision-making and effect. Traditional LPI signal detection and parameter estimation are mostly use of signal's properties in the time domain or frequency domain. In order to improve the detection performance, they either do accumulating in the time -frequency domain or do analyzing in time-frequency domain. Since LPI signal's appearance and development is to anti reconnaissance or called to reduce enemy intercept probability, and usually reduce the probability of enemy found used by spectrum extension or short time trigger measures. Therefore, researches on effective interception and parameter estimation methods of LPI signals have great practical significance and remarkable application value. However, LPI signal detection and parameter estimation is the key and difficult point in electronic reconnaissance and will become the bottleneck to limit its development. The project mainly research LPI signal space-time-frequency multidimensional domain joint detection and parameter estimation method. That means to make the best of th

英文关键词： Electronic reconnaissance；Low-probability-of-intercept signal；Space-time -frequency united processing；Array signal processing；Signal detection and parameter estimation