Exploiting Doppler Blind Zone Information for Ground Moving Target Tracking with Bistatic Airborne Radar

Mertens, Michael; Koch, Wolfgang; Kirubarajan, T.

doi:10.1109/taes.2013.120718

Cited by 29 publications

(18 citation statements)

References 21 publications

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“…Once the above estimation process is finished, an iterative postestimate is further executed. For notational distinction, denote byδ (1) = δ + δ (1) the obtained bias estimate. Then set u (2) = u − 1 P ⊗δ (1) .…”

Section: A Algorithm Descriptionmentioning

confidence: 99%

“…For notational distinction, denote byδ (1) = δ + δ (1) the obtained bias estimate. Then set u (2) = u − 1 P ⊗δ (1) . (17) Further substitute u (2) into steps 1 and 2.…”

Section: A Algorithm Descriptionmentioning

confidence: 99%

“…Passive radar, also known as passive coherent location radar, exploits the third-party radio sources as illuminators of opportunity to detect reflections from targets of interest [1][2][3][4][5]. By performing a two-dimensional (2-D) cross correlation (i.e.…”

Section: Introductionmentioning

confidence: 99%

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Noncooperative registration for multistatic passive radars

Wan

Leung

et al. 2016

IEEE Trans. Aerosp. Electron. Syst.

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Multistatic passive radars localize targets by using multiple bistatic range measurements. Multistatic localization requires all range measurements to be unbiased. It is proved by real data processing that registration is an important topic to be addressed. Traditionally, atomic clocks or GPS are used to achieve unbiased measurements. However, these approaches are unattainable under the case of multistatic passive radars as the transmitters of opportunity are beyond control. This paper proposes a novel registration method using noncooperative targets. The global convergence and accuracy of the proposed algorithm are obtained analytically. Computer simulations and experimental data are used to verify that the proposed algorithm possesses a good global convergence behavior and the performance can approach the Cramér-Rao bound (CRB).

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Section: A Algorithm Descriptionmentioning

confidence: 99%

“…For notational distinction, denote byδ (1) = δ + δ (1) the obtained bias estimate. Then set u (2) = u − 1 P ⊗δ (1) . (17) Further substitute u (2) into steps 1 and 2.…”

Section: A Algorithm Descriptionmentioning

confidence: 99%

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Noncooperative registration for multistatic passive radars

Wan

Leung

et al. 2016

IEEE Trans. Aerosp. Electron. Syst.

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“…The clutter signal depends on two reflecting signals (true and false stealth target signals), and introduces the dependency of looking direction as well as bistatic Doppler frequency , thus × dimensional space-time SV for bistatic clutter patch × model is determined by [25] , = ⊗ (11) as the Kronecker product of a bistatic Doppler component , which describes the linear phase progression in Doppler across pulses, while a spatial component , which accounts for the phase progression across the elements of the receive antenna and function of its azimuth angle and elevation angle as:…”

Section: Heterogeneous Bistatic Clutter Under Sn-swdj Effectmentioning

confidence: 99%

Novel Anti-Stealth on Sub-Nyquist Scattering Wave Deception Jammer With Stratospheric Balloon-Borne Bistatic Radar Using KA-STAP-FTRAB Algorithm

Barbary

Zong

2015

IEEE Sensors J.

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Stealth target becomes serious growing threats to the military radar, especially with the recently Sub-Nyquist scattering wave deception jammer (SN-SWDJ) which has not countering solution yet, because of the fast sampling rate. This paper engages in improving detection of stealth target (F-117A) under SN-SWDJ effect by using stratospheric balloon-borne bistatic radar system with higher aspect vision. The potential problems of proposed scheme come from heterogeneity caused by sudden gusts of wind, on the other hand, stealth target is always included in the array data due to the coupling of SN-SWDJ with target motion. To tackle these problems, we introduce an optimal suppression technique with a novel combination of knowledgeaided space-time adaptive processing (KA-STAP) and fast time robust adaptive beamforming (FTRAB) algorithms. FTRAB is applied to remove stealth target components from the array data, as the initial guess of KA-STAP covariance matrix. However, our proposed scheme has a higher complexity of the covariance matrix inversion. To reduce this complexity, we propose the linear affine combination of the inverse covariance matrices' estimation instead of the covariance matrix itself. Simulations demonstrate that proposed scheme gives much higher location accuracy and reduces complexity comparing to other algorithms. Index Terms-Stealth F-117A, balloon-borne bistatic radar, Sub-Nyquist-SWDJ, KA-STAP, Fast time -RAB, Affine combine. 1530-437X (c)

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“…The additional Doppler measurements are shown to be beneficial for tracking with multiple nonangular sensors [8]. In [18], the Doppler blind zone information is exploited to improve ground target tracking. Although performance improvements in both estimation and association are reported in some situations, approaches used in the literature cannot provide satisfactory estimation performance for all trajectories, especially in the presence of large position measurement errors.…”

Section: Introductionmentioning

confidence: 99%