Comparison of Clutter and Multipath Cancellation Techniques for Passive Radar

Cardinali, Roberta; Colone, Fabiola; Ferretti, Cinzia; Lombardo, P.

doi:10.1109/radar.2007.374262

Cited by 110 publications

(55 citation statements)

References 4 publications

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“…Choosing the proper metric is essential to obtain an objective comparison. Cardinali et al [7] introduced the clutter attenuation (CA), which measures the averaged power ratio of the original and the filtered surveillance signal.…”

Section: Performance Metricsmentioning

confidence: 99%

“…When it comes to time domain filtering, the Wiener filtering problem is solved without exception. Among the first, Cardinali et al have investigated the application of the least mean square (LMS), normalized least mean square (NLMS), recursive least squares (RLS), extensive cancellation algorithm (ECA) and sequential cancellation algorithm (SCA) in passive radar scenario [7]. In their work they used simulated data with assuming FM transmitter.…”

Section: Introductionmentioning

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: Performance Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Clutter Cancellation Techniques for Passive Radars

Pető¹,

Seller²

2018

Topics in Radar Signal Processing

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“…Due to the variability of the signal to be suppressed, adaptive algorithms are used [17,18]. The Extensive Cancellation Algorithm (ECA) is widely used [17,19].…”

Section: General Description and Operating Principlementioning

confidence: 99%

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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“…This paper focuses solely on computing estimated range profiles at zero-Doppler, using various algorithms. Other papers in the literature, such as [9], [10], and [11], consider the entire range-Doppler plane (not just the zero-Doppler range profile), and study the cancellation of zero-Doppler clutter, the direct path signal, and multipath to better reveal moving targets, and the interested reader is referred to those papers. Note in Table I that the sampling rate has been set equal to the transmitted waveform's bandwidth.…”

Section: Stochastic Implementation Of Gradient Descentmentioning

confidence: 99%

Impact of processing approach on SNR performance for passive bistatic noise radar

Callahan¹,

Rigling²,

Rangaswamy³

2015

2015 IEEE Radar Conference (RadarCon)

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Abstract-In passive bistatic noise radar, cross-correlation is a popular processing choice for range compression of received signals. However, when using cross-correlation, the noise floor is dependent upon the characteristics of the clutter in the scene. For similar computational requirements, least-mean-square (LMS) processing can yield signal-to-noise ratio (SNR) performance which is independent of the clutter characteristics, making it a superior choice relative to cross-correlation. The superior SNR performance of LMS relative to cross-correlation may be even more striking when the transmitted noise waveform is not spectrally uniform. This paper will study the results achieved in a zero-Doppler range profile containing a single point scatterer and multiple point scatterers when cross-correlation, whitened crosscorrelation, and LMS processing are used with a transmitted waveform whose spectrum is flat (white noise) and notched (colored noise).

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Comparison of Clutter and Multipath Cancellation Techniques for Passive Radar

Cited by 110 publications

References 4 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

Impact of processing approach on SNR performance for passive bistatic noise radar

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