Spatial Adaptive Processing for Passive Bistatic Radar

Moscardini, Christian; Conti, M.; Berizzi, F.; Capria, A.

doi:10.1109/radar.2014.6875751

Cited by 22 publications

(23 citation statements)

References 11 publications

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“…Moscardini et al [6] made progress on this problem with estimating the spatial autocorrelation matrix of the interferences from the corresponding range-Doppler cells after performing the cross-correlation. They report 2dB improvement over the conventional methods.…”

Section: Adaptive Optimummentioning

confidence: 99%

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Adaptive Clutter Cancellation Techniques for Passive Radars

Pető¹,

Seller²

2018

Topics in Radar Signal Processing

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In radar systems, the ambiguity function of the applied illuminator signal essentially determines the detection capabilities. Zero Doppler interference (ZDI) or close targets returns can mask weak target reflections from higher distances. This is particularly the case for passive radars where the illuminator signal is not under the control of the radar designer. In recent times, great efforts have been carried out to research and develop efficiently working filter algorithms. These adaptive algorithms aim to cancel the undesired interference components in order to enhance the useful dynamic range. A number of different algorithms are operating in the space and also in the time domain. Spatial algorithms apply beamforming techniques, while temporal algorithms utilize the available reference signal to suppress the interferences. The main goal of this chapter is to present and compare the available spatial and temporal adaptive interference cancellation techniques in terms of filtering efficiency and computationcostonreal-lifedata.

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Section: Adaptive Optimummentioning

confidence: 99%

“…Methods which utilize the eigenstructure of the spatial correlation matrix have been proposed in [4,5]. Moscardini et al [6] have made efforts to identify the most suitable multi-channel processing architecture. Their work focuses on the optimum beamformer for digital video broadcasting-terrestrial (DVB-T)-based systems.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Clutter Cancellation Techniques for Passive Radars

Pető¹,

Seller²

2018

Topics in Radar Signal Processing

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“…In PRSs, the CAF implements a time-frequency mapping with a time (bistatic delay) resolution that depends on the signal bandwidth and a frequency (Doppler shift) resolution that depends on the integration time. If beamforming is applied in this transformed domain, we could take advantage of the integration gain and the range-Doppler mapping of the targets and interferences present in the input signal [6]. Interferences are expected to concentrate around the zero Doppler line of the CAF, while targets will concentrate in the cells associated with their position and speed (range, Doppler), respectively, giving rise to sparse matrices from the point of view of targets.…”

Section: Array Processingmentioning

confidence: 99%

“…In [4,5], a circular antenna array with elements for the VHF-range (150-350 MHz) and the UHF-range (400-700 MHz) is used to exploit alternatively Digital Audio Broadcasting (DAB) or Digital Video Broadcasting-Terrestrial (DVB-T) signals. Two-stage beamforming methods for low complexity Constant False Alarm Rate (CFAR) detection and estimation of the angle of arrival in DVB-T-based PRS have been proposed and tested in [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the spatial filtering is applied in the frequency domain to take advantage of the processing gain of the PRS. Beamforming techniques are applied in a modified two-stage methodology based on [6,7], which is adapted to the NULA and the terrestrial environments: the first step is focused on improving the target detection in the CAF domain, and the second one consists of DoA estimation using a spectrum-based algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target’s Detection and Localization

et al. 2017

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Abstract:The problem of ground target detection with passive radars is considered. The design of an antenna array based on commercial elements is presented, based on a non-uniform linear array optimized according to sidelobe level requirements. Array processing techniques are applied in the cross-ambiguity function domain to exploit integration gain, system resolution and the sparsity of targets in this domain. A modified two-stage detection scheme is described, which is based on a previously-published one by other authors. All of these contributions are validated in a real semiurban scenario, proving the capabilities of detection, the direction of arrival estimation and the tracking of ground targets in the presence of big buildings that generate strong clutter returns. Detection performance is validated through the probability of false alarm and the probability of detection estimation with specified estimation errors.

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Method for bearing estimation of target for amplitude modulation radio‐based passive radar application

Yang

et al. 2018

Electron. lett.

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In a passive radar system, the bearing of the target is difficult to measure for the signal-to-noise ratio of the target's echo signal is generally very low in practise. A novel method to estimate the echo signal's angle is proposed. The cross-ambiguity function of directpath signal and each antenna's receiving signal is calculated to form a virtual array signal, in which the desired echo signal can be enhanced at a certain time delay and Doppler shift, so it is able to estimate its angle. We make the theoretical analysis about how the desired echo signal is enhanced. Some experimental results of an amplitude modulation (AM) radio-based passive radar are presented to verify the effectiveness of the proposed method.

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Spatial Adaptive Processing for Passive Bistatic Radar

Cited by 22 publications

References 11 publications

Adaptive Clutter Cancellation Techniques for Passive Radars

Adaptive Clutter Cancellation Techniques for Passive Radars

Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target’s Detection and Localization

Method for bearing estimation of target for amplitude modulation radio‐based passive radar application

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