Abstract
Localization of a moving target in a dual-frequency radars system has now gained considerable attention. The noncoherent localization approach based on a least squares (LS) estimator has been addressed in the literature. Compared with the LS method, a novel localization method based on a two-step weighted least squares estimator is proposed to increase positioning accuracy for a multi-station dual-frequency radars system in this paper. The effects of signal noise ratio and the number of samples on the performance of range estimation are also analyzed in the paper. Furthermore, both the theoretical variance and Cramer–Rao lower bound (CRLB) are derived. The simulation results verified the proposed method.
Highlights
Short-range noncontact microwave radar systems have been widely used for monitoring in military, environmental, health, and commercial systems [1,2]
Both wideband [3,4,5] and dual-frequency continuous wave (CW) [6,7,8,9,10] of signals are applied for range estimation in a short-range radar
A dual-frequency CW radar is the preferred solution for moving target (MT) localization because it is immune to clutter from stationary targets [6,7,8,9,10]
Summary
Short-range noncontact microwave radar systems have been widely used for monitoring in military, environmental, health, and commercial systems [1,2]. A range estimation method based on a dual-frequency radar is designed for gesture sensing in [6]. The authors in [7] studied the performance of range estimation using a dual-frequency radar. For a multi-station dual-frequency radars system, a noncoherent localization scheme in [10] was proposed for MT localization only using range measurements. InInthis thispaper, paper,a anovel novellocalization localizationmethod methodwith withclosed-form closed-formsolution solutionand andhigh highpositioning positioning accuracy is proposed for a multi-station dual-frequency radars system. Extends accuracyisisproposed proposed for a multi-station dual-frequencyradars radars system.The. Theproposed proposedmethod method extends extends the two-step WLS estimator from time-difference-of-arrival (TDOA) location system [11]. The effects signal noise ratio and thenumber number ofsamples samples theperformance performance range estimation are analyzed in theThe paper. Method first proposed for amulti-station multi-station dual-frequency radars system.
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