Power Spectrum Manifold-Based Information Geometry DP-TBD Algorithm

WU Hao; CHENG Yong-qiang; YANG Zheng; LI Xiang; WANG Hong-qiang

doi:10.12263/DZXB.20220846

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Power Spectrum Manifold-Based Information Geometry DP-TBD Algorithm

PAPERS | 更新时间：2026-04-10

- Power Spectrum Manifold-Based Information Geometry DP-TBD Algorithm
- ACTA ELECTRONICA SINICA Vol. 52, Issue 1, Pages: 193-200(2024)
- 作者机构：
  
  国防科技大学电子科学学院，湖南长沙 410079
- 作者简介：
- 基金信息：
  
  Distinguished Youth Science Foundation of Hunan Province(2022JJ0063);National Natural Science Foundation of China(61921001);Key Research and Development Program of China(2022YFB3902400)
- DOI：10.12263/DZXB.20220846
  CLC： TN957.51;
- Received：08 July 2022，
  
  Revised：2023-03-23，
  
  Published：25 January 2024
- 稿件说明：
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吴昊,程永强,杨政等.基于功率谱流形的信息几何DP-TBD算法[J].电子学报,2024,52(01):193-200.

WU Hao,CHENG Yong-qiang,YANG Zheng,et al.Power Spectrum Manifold-Based Information Geometry DP-TBD Algorithm[J].ACTA ELECTRONICA SINICA,2024,52(01):193-200.
吴昊,程永强,杨政等.基于功率谱流形的信息几何DP-TBD算法[J].电子学报,2024,52(01):193-200. DOI： 10.12263/DZXB.20220846.

WU Hao,CHENG Yong-qiang,YANG Zheng,et al.Power Spectrum Manifold-Based Information Geometry DP-TBD Algorithm[J].ACTA ELECTRONICA SINICA,2024,52(01):193-200. DOI： 10.12263/DZXB.20220846.

摘要

针对复杂杂波背景下目标信杂比起伏而导致的漏检问题，本文结合信息几何检测器的性能优势与动态规划检测前跟踪（Dynamic Programming Track Before Detect，DP-TBD）的多帧信息积累能力，提出了基于功率谱流形的信息几何DP-TBD算法.该算法利用功率谱流形与矩阵流形对偶关系，设计了功率谱信息几何检测器，将信息几何检测器的计算复杂度降低了近两个数量级.通过实测数据实验验证，功率谱DP-TBD算法可实现与矩阵DP-TBD算法相近的检测性能，并将运算时间降低为矩阵DP-TBD算法的3%~8%.此外，相较于信息几何检测器，功率谱DP-TBD可将检测信杂比（Signal-to-Clutter Ratio，SCR）提高2~3 dB.

Abstract

To address the missed detection problem resulting from the fluctuation of target signal-to-clutter ratio in complex clutter background

this paper proposes the power spectrum manifold-based information geometry dynamic programming track-before-detect (DP-TBD) algorithm by combining the performance advantage of information geometry detector and the ability of dynamic programming in multi-frame information accumulation. This algorithm utilizes the duality between the power spectrum manifold and matrix manifold and designs the power spectrum information geometry detector to reduce the computation complexity of information geometry detector by approximate two levels. According to the experiments based on real-recorded clutter data

the power spectrum DP-TBD algorithm achieves almost the same detection performance as the matrix DP-TBD algorithm while only requires 3%~8% running time than that of the matrix DP-TBD algorithm. In addition

the power spectrum DP-TBD algorithm provides an SCR improvement of 2~3 dB to information geometry detector.

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