Adaptive spatial processing applied to a prototype passive covert radar: Test with real data

Lallo, A. Di; Fulcoli, R.; Timmoneri, L.

doi:10.1109/radar.2008.4653906

Cited by 7 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The spatial smoothing technique can be applied to resolve even more coherent sources in the expense of 8 International Journal of Antennas and Propagation decreasing aperture. Using the forward-backward spatial smoothing technique, it is possible to detect up to 2M/3 coherent sources.…”

Section: 4mentioning

confidence: 99%

“…The beampattern is evolved by these kinds of algorithms in a way that it places nulls in the direction of high power interferences that are uncorrelated with the desired signal. The operation of these algorithms is widely inspected in passive radar scenarios [2][3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…In this processing setup, the standard temporal filter precedes the beamformer. Thus, the surveillance antenna channels x s n m , m = 0, … , M − 1 are filtered individually according to (15); then, the filtered output is calculated with beamforming of the prefiltered antenna channels using (8), where x s n m is replaced by x f n m . The temporal dimension is uniformly J = K = 128 in all cases, and the MVDR beamformer uses a 83 ∘ as the steering vector to receive the target reflection.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Space-Time Adaptive Cancellation in Passive Radar Systems

Pető

Seller

2018

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

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.

show abstract

Section: 4mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Space-Time Adaptive Cancellation in Passive Radar Systems

Pető

Seller

2018

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

show abstract

“…Space-domain suppression techniques apply beamforming methods to deal with the high power interferences. The adaptive optimum beamformer for passive radar application has been investigated in [2,3]. Methods which utilize the eigenstructure of the spatial correlation matrix have been proposed in [4,5].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Clutter Cancellation Techniques for Passive Radars

Pető¹,

Seller²

2018

Topics in Radar Signal Processing

View full text Add to dashboard Cite

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.

show abstract