Multi-Bernoulli Track-Before-Detect Method with Geodesic Flow

doi:10.3969/j.issn.0372-2112.2020.07.017

您当前的位置：

首页 >

文章列表页 >

Multi-Bernoulli Track-Before-Detect Method with Geodesic Flow

更新时间：2025-07-08

- Multi-Bernoulli Track-Before-Detect Method with Geodesic Flow
- Acta Electronica Sinica Vol. 48, Issue 7, Pages: 1375-1379(2020)
- 作者机构：
  
  1. 北京航空航天大学电子信息工程学院,北京,100191
  2. 海军 92853部队,辽宁,葫芦岛,125106
  3. 北京航空航天大学杭州创新研究院,浙江,杭州,310051
  4. 北京航空航天大学电子信息工程学院,北京,100191
  5. 海军 92853部队,辽宁,葫芦岛,125106
  6. 北京航空航天大学杭州创新研究院,浙江,杭州,310051
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61471019, No.U1633122)
- DOI：10.3969/j.issn.0372-2112.2020.07.017
  CLC： TN957
- Published Online：25 July 2020，
  
  Published：2020
- 稿件说明：
移动端阅览
Multi-Bernoulli Track-Before-Detect Method with Geodesic Flow[J]. Acta Electronica Sinica, 2020, 48(7): 1375-1379.
DOI：

Multi-Bernoulli Track-Before-Detect Method with Geodesic Flow[J]. Acta Electronica Sinica, 2020, 48(7): 1375-1379. DOI： 10.3969/j.issn.0372-2112.2020.07.017.

摘要

由于粒子退化，基于粒子滤波的多伯努利检测前跟踪滤波器对多目标后验密度的估计不准确，导致量测非相参积累的效果不理想.为此，将Geodesic粒子流引入多伯努利检测前跟踪算法，以提升后验密度估计的准确度.此外，合并航迹时利用目标的航向信息，从而降低航迹交叉时不同目标的航迹被错误合并的概率.通过Rayleigh杂波中Swerling 1型起伏目标的检测及跟踪结果证明了所提算法的性能.

Abstract

Due to the particle degeneracy

the particle filter based multi-Bernoulli track-before-detect (TBD) filter has an inaccurate estimate of the multi-target posterior density

which leads to the poor performance of measurement non-coherent integration. In order to solve this issue

the Geodesic particle flow is introduced into the multi-Bernoulli TBD algorithm to improve the estimation of the posterior density. In addition

in the track-merging step

the course information of the target is exploited

which reduces the probability of merging tracks of different targets when they cross. The performance of the proposed algorithm is verified by the simulation results of Swerling 1 fluctuating targets detecting and tracking in Rayleigh clutter.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A Method of Determining Detection Threshold for Particle Filter Track-Before-Detect in Passive Sonar

Research on PHD Filter Based Track-Before-Detect Algorithm of Radar Fluctuating Targets

Track-Before-Detect Algorithm in a MIMO Radar Multi-Target Environment

Probability Hypothesis Density Filter Multitarget Track-Before-Detect Application

An Algorithm Based on DP for Radar Dim Multi-Target Detection

Related Author

XI Chang

CAI Zhi-ming

YUAN Jun

LI Dong-sheng

XUE Qiu-tiao

SUN Xi-yan

CAI Ru-hua

WU Sun-yong

Related Institution

College of Electronic Engineering,Naval University of Engineering

Mathematics and Computer Science College of Guilin University of Electronic Technology

Guangxi Information Science Experiment Center

Guangxi Key Laboratory of Cryptography and Information Security

(Department of Electronic Engineering, Naval Aeronautical and Astronautical University,,,)

⁰