电子学报 ›› 2012, Vol. 40 ›› Issue (10): 2117-2121.DOI: 10.3969/j.issn.0372-2112.2012.10.036

• 科研通信 • 上一篇    下一篇

一种基于RSS估计的虚假点消除方法

张旻1,2, 罗争1,2   

  1. 1. 合肥电子工程学院309研究室, 安徽合肥 230037;
    2. 安徽省电子制约技术重点实验室, 安徽合肥 230037
  • 收稿日期:2011-09-27 修回日期:2012-04-10 出版日期:2012-10-25
    • 作者简介:
    • 张 旻 男,1966年7月生于安徽合肥.现为解放军电子工程学院教授,博士.主要从事为信号与信息处理、计算智能等方向研究.获部委级科技进步奖10余项,在国内外发表论文50余篇. E-mail:dyzhangmin@163.com 罗 争 男,1986年9月出生于江西南昌.现为解放军电子工程学院通信与信息系统领域研究生,主要从事阵列信号处理方向研究. E-mail:AndyTayor@163.com
    • 基金资助:
    • 国家自然科学基金 (No.60972161)

A New Method for Eliminating Ghost Based on RSS Estimation

ZHANG Min1,2, LUO Zheng1,2   

  1. 1. Division 309, Electronic Engineering Institute, Hefei, Anhui 230037, China;
    2. Key Laboratory of Electronic Restricting Technique, Hefei, Anhui 230037, China
  • Received:2011-09-27 Revised:2012-04-10 Online:2012-10-25 Published:2012-10-25
    • Supported by:
    • National Natural Science Foundation of China (No.60972161)

摘要: 论文提出了一种基于接收信号强度(Received Signal Strength,RSS)的测向交叉定位方法,解决无源测向交叉定位中的虚假点问题.首先推导了阵列协方差矩阵中接收信号强度与阵列流型之间的关系,利用协方差逆矩阵高阶幂逼近噪声子空间的特点,在已知阵列流型基础上准确获取各来波的信号强度,解决了同一信道多来波的RSS估计问题;然后运用电磁波传播相关理论,根据接收信号强度和传播路径衰减参数的关系判定各定位点的置信度,排除了虚假点.所提算法对存在一定角度估计误差、低信噪比等情况具有很好的鲁棒性,仿真结果验证了该算法的有效性和可行性.

关键词: 交叉定位, 虚假点, 接收信号强度, 交叉定位置信度

Abstract: A new method for passive cross location based on received signal strength (RSS) is proposed,which can eliminate ghosts under complicated electromagnetic environment.The relationship between array manifold and received signal strength of covariance matrix estimation is derived.Using the high order power of inverse spatial covariance matrix to get noise subspace,the received signal strength is obtained under the condition of known signal directions.From the knowledge of radio prorogation theory,the confidence of each cross location is computed by the relationship between received power and propagation decay.Through this way,the ghosts of cross location are estimated.The simulation results confirm the feasibility and effectiveness of the proposed method,which is robust to angle deviation and low SNR.

Key words: cross location, false intersection points, received signal strength, the confidence of cross location

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