Comparison of DPCA and STAP for space-based radar

Nohara, T.J.

doi:10.1109/radar.1995.522530

Cited by 33 publications

(13 citation statements)

References 9 publications

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“…STAP processing is robust to errors and can simultaneously suppress clutter returns and jamming signals. [24,25,26] DPCA processing compensates for the radar motion to reduce the Doppler spread of ground clutter induced by the sensor platform. [27,28,29] Multi-channel airborne radar configurations often have a pair of antennas positioned so as the platform travels in time, the position of the trailing antenna will occupy approximately the same position of the lead antenna at some delta in time.…”

Section: General Clutter Suppressionmentioning

confidence: 99%

“…[30,31,32] Both STAP and DPCA are capable of cancelling main beam and side lobe clutter for multi-channel airborne radars with two or more antenna phase centers. [24] In this paper, a DPCA 2-channel algorithm implementation is chosen for comparison to the MSS algorithm. Shown in Figure 3, a 3-channel antenna configuration where antenna number 1 is the lead channel for the collected data used in this paper.…”

Section: General Clutter Suppressionmentioning

confidence: 99%

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Target identification performance improvement from enhanced HRR radar clutter suppression

Kahler

Blasch

2009

Proceedings of the IEEE 2009 National Aerospace &Amp; Electronics Conference (NAECON)

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Airborne radar tracking in moving ground vehicle scenarios is impacted by sensor, target, and environmental dynamics. Moving targets can be assessed with 1-D High Range Resolution (HRR) Radar profiles with sufficient signal-to-noise (SNR) present which contain enough feature information to discern one target from another to help maintain track or to identify the vehicle. Typical radar clutter suppression algorithms developed for processing moving ground target data not only remove the surrounding clutter but also a portion of the target signature. Enhanced clutter suppression can be achieved using a multi-channel signal subspace (MSS) algorithm which preserves target features. In this paper, we exploit extra information from enhanced clutter suppression for automatic target recognition (ATR), present a gain comparison using displaced phase center antenna (DPCA) and MSS clutter suppressed HRR data, and generate confusion-matrix identification results. The results show that more channels for MSS increase ID over DCPA, result in a slightly noisier clutter suppressed image, and preserve more target features after clutter cancellation

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Section: General Clutter Suppressionmentioning

confidence: 99%

Section: General Clutter Suppressionmentioning

confidence: 99%

Target identification performance improvement from enhanced HRR radar clutter suppression

Kahler

Blasch

2009

Proceedings of the IEEE 2009 National Aerospace &Amp; Electronics Conference (NAECON)

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“…Meanwhile, almost all the energy of the strongest signal should concentrate on a narrow band centered at u in the FrFT domain. 3 Choose an appropriate bandwidth for the narrow band centered at u in the FrFT domain, and filter the signal in the band, so that almost all the energy of the strongest signal can be got rid of. 4 Transform the filtered signal into time domain using inverse FrFT.…”

Section: Doppler Parameter Estimations Usingfractionalmentioning

confidence: 99%

“…Presently, detection technique for moving targets includes time-frequency distribution technique (such as Wigner-Ville Distribution, WVD), displaced phase center antenna (DPCA) technique and space-time adaptive processing (STAP) technique [2] [3]. However, for a two-aperture radar system, DPCA technique can only eliminate clutter but cannot estimate velocity [4].…”

Section: Introductionmentioning

confidence: 99%

Parameter Estimation of Moving Targets in Airborne SAR Based on Fractional Fourier Transform

Sun

Wang

et al. 2007

2007 International Conference on Microwave and Millimeter Wave Technology

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Fractional Fourier transform was used in this paper to realize the localization and velocity estimations in both directions, ground range direction and azimuth direction, when it comes to a one-aperture radar system. The theoretical analysis started with the echo signal model of SAR moving point targets and the computer simulation results of motion parameter estimations were given in this paper. The experimental results indicate that using fractional Fourier transform to detect the moving target, nice effect of localization and velocity estimation can be obtained in different signal-to-noise ratio conditions, and there is no cross-term interference when several moving targets exist.

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“…They are simplified technique of STAP in a sense. Some discussions suggest that ATI and DPCA, rather than STAP, may well provide the good tradeoff between cost and performance for space-borne SAR system [1]. The distributed spaceborne SAR systems provide an opportunity to make full use of the space domain information to detect moving target.…”

Section: Introductionmentioning

confidence: 99%

A method of hybrid ATI and DPCA technique to detect moving target

Fang

Dong

2006

2006 CIE International Conference on Radar

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The technique of moving target detection is more important in surveillance and detection. Both the AlongTrack Interferometry(ATI) and Displaced Phase Center Antenna(DPCA) techniques can estimate the position and radial velocity of moving target; however they are used in different circumstance. In the paper we compare the detection performance of slow ground moving target using ATI and DPCA technique for the new model of distributed space-borne SAR in detail. And provide a method of hybrid ATI and DPCA technique to detect moving target. Some typical computer simulation results are presented which illustrate the problem convincingly.

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Comparison of DPCA and STAP for space-based radar

Cited by 33 publications

References 9 publications

Target identification performance improvement from enhanced HRR radar clutter suppression

Target identification performance improvement from enhanced HRR radar clutter suppression

Parameter Estimation of Moving Targets in Airborne SAR Based on Fractional Fourier Transform

A method of hybrid ATI and DPCA technique to detect moving target

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