Efficient Position Determination of Highly Directional RF Emitters via Iterated Beampattern Analysis
The localization of RF emitters has attracted significant attention particularly within the domain of electronic warfare. Most localization methods found in open literature are based on omnidirectional emitters. Directional emitters significantly modulate received signal strength (RSS) resulting in degraded performance for localization techniques not modeling this behavior. This paper introduces a direct position determination (DPD) approach utilizing RSS information and adaptive beamforming to localize emitters at very low signal-to-noise-ratio (SNR). The technique is then applied to directional emitters taking the imposed RSS modulation into account using a beampattern library. This results in significantly improved localization region confidence as compared to omnidirectional assumption approaches.
Code (0)
등록된 구현이 없습니다.
Tasks
PositionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
A Computational Efficient Maximum Likelihood Direct Position Determination Approach for Multiple Emitters Using Angle and Doppler Measurements
Emitter localization is widely applied in the military and civilian _elds. In this paper, we tackle the problem of position estimation for multiple stationary emitters using Doppler frequency shifts and angles by moving …
PositionAEGIR: Modeling Area Emitters for Indoor Inverse Rendering using Gaussian Splatting
Inverse rendering requires separating illumination from surface materials, which is highly ambiguous due to their tight coupling in observed images. While Gaussian Splatting is efficient for novel view synthesis, existin…
Novel View SynthesisInverse RenderingDIRECT POSITION DETERMINATION OF MULTIPLE RADIO SIGNALS
The most common methods for localization of radio signal emitters are based on measuring a specified parameter such as signal Angle-of-Arrival (AOA) or Time-of- Arrival (TOA). The measured parameters are then used t…
PositionSpatially Intelligent Patrol Routes for Concealed Emitter Localization by Robot Swarms
This paper introduces a method for designing spatially intelligent robot swarm behaviors to localize concealed radio emitters. We use differential evolution to generate geometric patrol routes that localize unknown signa…
DeepSTORM3D: dense three dimensional localization microscopy and point spread function design by deep learning
Localization microscopy is an imaging technique in which the positions of individual nanoscale point emitters (e.g. fluorescent molecules) are determined at high precision from their images. This is the key ingredient in…
Super-Resolution