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Localization of a Moving Source by Frequency Measurements

Musaab Mohammed Ahmed, K. C. Ho, Gang Wang

2020IEEE Transactions on Signal Processing52 citationsDOI

Abstract

This paper investigates the localization of a moving source in position and velocity, by observing the emitted frequency from the source that is subject to the Doppler shift effect at a number of stationary sensors. Previous attempts rely on exhaustive grid search or numerical polynomial optimization to obtain a solution. We shall propose a constrained optimization to formulate the localization problem, which enables the problem to be solved efficiently using the linear optimization method to reach a closed-form solution or the semi-definite relaxation technique to achieve a noise resilient estimate. The algorithms are developed for the single-time and multiple-time observations. The presence of errors in the source frequency and the sensor positions are considered. The non-cooperative scenario where the source frequency is completely not known is also addressed. Analysis validates the proposed closed-form solution in reaching the Cramer-Rao Lower Bound accuracy under Gaussian noise over the small error region. Simulations support the performance of the proposed solutions.

Topics & Concepts

Computer scienceOptimization problemAlgorithmPosition (finance)Time–frequency analysisNoise (video)Relaxation (psychology)Cramér–Rao boundGaussian noiseGaussianDoppler effectPolynomialMathematical optimizationNoise measurementMathematicsEstimation theoryTelecommunicationsNoise reductionMathematical analysisArtificial intelligencePhysicsEconomicsImage (mathematics)Quantum mechanicsAstronomyRadarPsychologyFinanceSocial psychologyIndoor and Outdoor Localization TechnologiesTarget Tracking and Data Fusion in Sensor NetworksDistributed Sensor Networks and Detection Algorithms
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