北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2011, Vol. 34 ›› Issue (4): 61-65.doi: 10.13190/jbupt.201104.61.liuyp

• 论文 • 上一篇    下一篇

视频积累网络雷达对球形目标检测性能分析

刘月平1,2,姜秋喜2,3,孙志勇3   

  1. 1南京电讯技术研究所, 南京 210007; 2电子工程学院, 合肥 230037;  3安徽省电子制约技术重点实验室, 合肥 230037
  • 收稿日期:2010-10-21 修回日期:2011-04-27 出版日期:2011-08-28 发布日期:2011-07-18
  • 通讯作者: 刘月平 E-mail:taokouliu2006@sohu.com
  • 基金资助:

    安徽省电子制约技术重点实验室基金项目(200713002005E)

Research on the Detection Performance of NonCoherent  Integration Network Radar to Spherical Targets

  • Received:2010-10-21 Revised:2011-04-27 Online:2011-08-28 Published:2011-07-18
  • Contact: Yue-Ping LIU E-mail:taokouliu2006@sohu.com

摘要:

为了研究总发射功率一定的条件下,视频积累网络雷达4种工作模式对球形目标的检测性能,对其进行了分析和仿真,结果表明,积累的脉冲数一定时,重定相组网(RPNR)与多输入多输出(MIMO)模式的检测性能随着节点数的增加而增加,移动窗(MW)和组网(NR)模式则相反. 对于有限的节点数,RPNR模式检测性能最好,MIMO模式次之,低信噪比(SNR)时MW模式最差,高SNR时则是NR模式最差. 

关键词: 视频积累, 网络雷达, 球形目标, 检测性能

Abstract:

The detection performance of the four Network Radar operating models to spherical targets is researched when the total power of single pulse of the transmitters is definite. Analysis and simulation show that the more the node number is, the better the detection performance of rephased coherent netted radar (RPNR) and multiinput multioutput (MIMO) model is, and show that mobile windows (MW) and coherent metted radar (NR) is opposite. When the node number is definite, the detection performance of RPNR model is better than that of MIMO model, but the latter is better than that of MW and NR model. The MW model is the worst when the signaltonoise ratio (SNR) is lower, also the NR model is the worst when the SNR is higher.

Key words: noncoherent integration, network radar, spherical targets, detection performance