A New Method for Eliminating Ghost Based on RSS Estimation

ZHANG Min; LUO Zheng

doi:10.3969/j.issn.0372-2112.2012.10.036

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A New Method for Eliminating Ghost Based on RSS Estimation

更新时间：2025-07-16

- A New Method for Eliminating Ghost Based on RSS Estimation
- Acta Electronica Sinica Vol. 40, Issue 10, Pages: 2117-2121(2012)
- 作者机构：
  
  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
  3. 合肥电子工程学院309研究室,安徽,合肥,230037
  4. 安徽省电子制约技术重点实验室,安徽,合肥,230037
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.60972161)
- DOI：10.3969/j.issn.0372-2112.2012.10.036
  CLC： TN971
- Published：2012
- 稿件说明：
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ZHANG Min, LUO Zheng. A New Method for Eliminating Ghost Based on RSS Estimation[J]. Acta Electronica Sinica, 2012, 40(10): 2117-2121.
DOI：

ZHANG Min, LUO Zheng. A New Method for Eliminating Ghost Based on RSS Estimation[J]. Acta Electronica Sinica, 2012, 40(10): 2117-2121. DOI： 10.3969/j.issn.0372-2112.2012.10.036.

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.

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.

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