In this paper, the problem of the joint estimation of the range and azimuth of multiple targets in a multiple-input multiple-output stepped-frequency continuous wave radar system is investigated. Three deterministic algorithms solving it through an iterative beam cancellation procedure are described; moreover, an iterative technique, based on the expectation-maximization algorithm, is developed with the aim of refining their estimates. The accuracy achieved by all the considered algorithms is assessed on the basis of the raw data acquired from a low power wideband radar device. Our results evidence that these algorithms achieve similar accuracies, but at the price of different computational efforts.
A Comparative Analysis of Deterministic Detection and Estimation Techniques for MIMO SFCW Radars / Sirignano, Emilio; Davoli, Alessandro; Vitetta, Giorgio M.; Viappiani, Federico. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 7:(2019), pp. 129848-129861. [10.1109/ACCESS.2019.2939432]
A Comparative Analysis of Deterministic Detection and Estimation Techniques for MIMO SFCW Radars
DAVOLI, ALESSANDRO;
2019
Abstract
In this paper, the problem of the joint estimation of the range and azimuth of multiple targets in a multiple-input multiple-output stepped-frequency continuous wave radar system is investigated. Three deterministic algorithms solving it through an iterative beam cancellation procedure are described; moreover, an iterative technique, based on the expectation-maximization algorithm, is developed with the aim of refining their estimates. The accuracy achieved by all the considered algorithms is assessed on the basis of the raw data acquired from a low power wideband radar device. Our results evidence that these algorithms achieve similar accuracies, but at the price of different computational efforts.File | Dimensione | Formato | |
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