Analytical approximation-based method for calculation of generalized ambiguity function and 3D down-looking SAR image reconstruction

Slukin, Gennady; Chapurskiy, V.V.; Golubtsov, Maxim; Kryuchkov, Igor V.; Soloviev, Nikolay

doi:10.1109/piers.2017.8262185

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…However, no diving angle was supposed and the derivation results still contain integral term [6] gave a GAF expression without integral term, but it lacked further investigation of the formation configuration. Other GAF analysis on MIMO SAR main focused on single platform MIMO SAR [7–9] analysed the GAF of monostatic geosynchronous SAR and gave a relevant GAF expressions of satellite speed and slant range.…”

Section: Introductionmentioning

confidence: 99%

Generalised ambiguity function analysis of distributed MIMO synthetic aperture radar

Chen

Dong

et al. 2019

J. eng.

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Section: Introductionmentioning

confidence: 99%

Generalised ambiguity function analysis of distributed MIMO synthetic aperture radar

Chen

Dong

et al. 2019

J. eng.

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“…Погрешность определения фаз комплексных огибающих сигналов, объединяемых когерентно, складывается из показателей стабильности следующих основных параметров: частоты (фазы) опорных генераторов, комплексной амплитудно-фазовой частотной характеристики (АФЧХ) канала распространения сигналов (в том числе отношения сигнал/шум в канале, многолучевости и др. [9], [10] Даже такая упрощенная модель показывает, что энергетические потери Π, вызванные ошибкой фазовой синхронизации, несущественны. Так, при равномерном распределении случайной ве-личины n  потери не превышают 1…2 дБ при среднеквадратической ошибке фазы 40° и не более 10 объединяемых сигналов.…”

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Experimental Results of Software Algorithmic Synchronization of Distributed Radio System With Mobile Carriers

Крючков

Noniashvili

Skachkova

et al. 2019

Izv. vysš. učebn. zaved. Ross., Radioèlektron.

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Introduction. One of the classes of modern radio engineering systems are systems with spatial diversity of transmitting, receiving or transceiving elements. In such systems, an increase of the information content is achieved by signal coprocessing ensuring synchronization in time and phase of the carrier oscillation. Currently, the researchers do not pay enough attention to the requirements for the accuracy of synchronization of distributed systems of different applications, as well as simple and affordable ways to synchronize them.Objective. The paper main objective is the search for technical solutions for clock and phase synchronization without atomic frequency standards and external sources of coordinate-time information.Methods and materials. The paper considers a distributed radio engineering system with non-rigid structure. Each element of the system has reference signal from its own crystal oscillator. The oscillators are not physically aligned. The phases of their oscillations are periodically compared by the method of two-way transmission of synchronizing signals (from one element to another and vice versa). The synchronization technique (software algorithmic approach) is reduced to the coprocessing signal correction according to estimated frequency (phase) drifts. The testing of the proposed technical solution is presented on a hardware model consisting of ten receiving and transmitting modules.Results. The experiment showed that RMS of synchronization errors does not exceeded 12 degrees by phase (for VHF), or 0.2 ns by time. These results are acquired for spatial diversity up to several hundred meters, mutual speed of the modules up to several meters per second and may be extended for higher frequencies (in particular, UHF).Conclusion. The paper proposes a method of multilateral propagation to synchronize distributed radioengineering systems. Combined with software algorithmic technique this method enables to obtain synchronization accuracy in real-time sufficient for coherent diversity technique.

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Analytical approximation-based method for calculation of generalized ambiguity function and 3D down-looking SAR image reconstruction

Cited by 2 publications

References 2 publications

Generalised ambiguity function analysis of distributed MIMO synthetic aperture radar

Generalised ambiguity function analysis of distributed MIMO synthetic aperture radar

Experimental Results of Software Algorithmic Synchronization of Distributed Radio System With Mobile Carriers

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