Sliding extensive cancellation algorithm for disturbance removal in passive radar

Colone, Fabiola; Palmarini, C.; Martelli, Tatiana; Tilli, E.

doi:10.1109/taes.2016.150477

Cited by 88 publications

(90 citation statements)

References 33 publications

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“…The theoretical investigations in [19] carried out that these Doppler ambiguities are separated by 1/T B , where T B = N B f s is the batch duration. One can say that by decreasing the batch size the Doppler ambiguities can be moved out of the interested region of range-Doppler map.…”

Section: Sliding Window Eca Algorithm (Eca-s)mentioning

confidence: 99%

“…However, as described earlier the direct consequence of decreasing the batch duration is the widening of the filter notch around the zero Doppler frequency. To resolve this contradiction Colone et al [19] suggested to apply different window sizes for the coefficient estimation and the filtering. The coefficient estimation window is selected symmetrically around the filtering window.…”

Section: Sliding Window Eca Algorithm (Eca-s)mentioning

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: Sliding Window Eca Algorithm (Eca-s)mentioning

confidence: 99%

Section: Sliding Window Eca Algorithm (Eca-s)mentioning

confidence: 99%

Adaptive Clutter Cancellation Techniques for Passive Radars

Pető¹,

Seller²

2018

Topics in Radar Signal Processing

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“…According to the sample matrix inversion (SMI) technique, the temporal autocorrelation matrix and the cross-correlation vector are estimated with their sample average. Other techniques such as the variants of the extensive cancellation algorithm (ECA, ECA-B, and ECA-S) apply different time intervals to the coefficient estimation and filtering [10,14]. Iterative algorithms like the least mean square, normalized least mean square, recursive least squares, and so on update the w t vector from sample to sample [11,16,20].…”

Section: International Journal Of Antennas and Propagationmentioning

confidence: 99%

“…These procedures are quite different in implementation but solve the Wiener filtering problem without exception. The resulting FIR filter produces the sum of the properly weighted and delayed replicas of the reference signal, which is then subtracted from the surveillance channel [9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Space-Time Adaptive Cancellation in Passive Radar Systems

Pető

Seller

2018

International Journal of Antennas and Propagation

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A critical issue in the realization of passive radar systems is the effective suppression of the zero Doppler interference (ZDI). The performance of the clutter cancellation relies much on the used algorithms. Several state-of-the-art approaches consist in the independent use of spatial and temporal algorithms for ZDI suppression. In this paper, a novel interference cancellation algorithm is proposed, which jointly exploits the available information from both space and time domains. We call this novel method Space-Time Adaptive Cancellation (STAC), and it differs from previous schemes included among the tools of SpaceTime Adaptive Processing (STAP). The STAC algorithm is able to cancel out the high power direct and multipath signals on all the surveillance antenna channels prior to the beamforming and other space domain processing methods. The proposed preprocessing technique facilitates the detection of targets even in the direction of the illuminator or large static scatterers. Moreover, the interference rejection capability is also enhanced in the space domain. The performance of the presented algorithm is verified through simulations and field measurements. The experiments show improvement over the currently available filtering techniques.

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“…The ECA, SCA and ECA-B are among these methods [14][15][16]. Recently, a version of ECA (ECA-S) has been proposed in [17].…”

Section: Introductionmentioning

confidence: 99%

A novel sequential algorithm for clutter and direct signal cancellation in passive bistatic radars

Ansari

Taban

Gazor

2016

EURASIP J. Adv. Signal Process.

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Cancellation of clutter and multipath is an important problem in passive bistatic radars. Some important recent algorithms such as the ECA, the SCA and the ECA-B project the received signals onto a subspace orthogonal to both clutter and pre-detected target subspaces. In this paper, we generalize the SCA algorithm and propose a novel sequential algorithm for clutter and multipath cancellation in the passive radars. This proposed sequential cancellation batch (SCB) algorithm has lower complexity and requires less memory than the mentioned methods. The SCB algorithm can be employed for static and non-static clutter cancellation. The proposed algorithm is evaluated by computer simulation under practical FM radio signals. Simulation results reveal that the SCB provides an admissible performance with lower computational complexity.

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Sliding extensive cancellation algorithm for disturbance removal in passive radar

Cited by 88 publications

References 33 publications

Adaptive Clutter Cancellation Techniques for Passive Radars

Adaptive Clutter Cancellation Techniques for Passive Radars

Space-Time Adaptive Cancellation in Passive Radar Systems

A novel sequential algorithm for clutter and direct signal cancellation in passive bistatic radars

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