2016•Unpublished venueRequires access

Eliminating false localization from passive TDOA measurements

S. Feng, Gaocheng Wang, Wing‐Kin Ma

Open publisher page 5 citations

Abstract

False point easily appears for passive radar as target localization for certain system faces many unpredictably disadvantageous cases. To gain insight into what causes the generation of false location, the characteristics of emitter localization for passive radar based on time-difference-of-arrival (TDOA) systems is analyzed. We approximately obtain how the false location relates to radar station address, emitter position, and the TDOA measurements. Next, eliminating false point is modeled by using the inductive reasoning method. Example with numerical data is provided to assess deletion rate of false points, and show the effectiveness of the proposed method.

About this research paper

What this paper is about

False point easily appears for passive radar as target localization for certain system faces many unpredictably disadvantageous cases. To gain insight into what causes the generation of false location, the characteristics of emitter localization for passive radar based on time-difference-of-arrival (TDOA) systems is analyzed. We approximately obtain how the false location relates to radar station address, emitter position, and the TDOA measurements. Next, eliminating false point is modeled by using the inductive reasoning method. Example with numerical data is provided to assess deletion rate of false points, and show the effectiveness of the proposed method.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

False point easily appears for passive radar as target localization for certain system faces many unpredictably disadvantageous cases. To gain insight into what causes the generation of false location, the characteristics of emitter localization for passive radar based on time-difference-of-arrival (TDOA) systems is analyzed. We approximately obtain how the false location relates to radar station address, emitter position, and the TDOA measurements. Next, eliminating false point is modeled by using the inductive reasoning method. Example with numerical data is provided to assess deletion rate of false points, and show the effectiveness of the proposed method.

Key concepts: Multilateration, Common emitter, Computer science, Radar, Passive radar, FDOA, Position (finance), Point (geometry)

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