Design and Real Time Implementation of a Novel Combined CA-CFAR/SLB System on TMS320C67x Processor

Magaz, B.; Bencheikh, Mohamed Laïd; Hamadouche, M.; Belouchrani, Adel

doi:10.1109/irs.2006.4338154

Cited by 5 publications

(6 citation statements)

References 2 publications

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“…For practical application in radar detection, it is clear, however, that the computation burden is greater for the proposed detector than the OS-CFAR. In order to overcome this limitation, a solution to this problem is to take the advantages of the optimized implementation architectures for the CA-CFAR and the OS-CFAR detectors developed in [14] and [13] respectively. For the CA-CFAR detector, the computational load is reduced to only two additions and two subtractions whatever the reference window size.…”

Section: The Gain Of the Proposed Detectormentioning

confidence: 99%

A New Adaptive Linear Combined Cfar Detector in Presence of Interfering Targets

Magaz¹,

Belouchrani²,

Hamadouche³

2011

PIER B

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Abstract-In this paper, a new radar constant false alarm rate detector to perform adaptive threshold target detection in presence of interfering targets is proposed. The proposed CFAR detector, referred to as Adaptive Linear Combined CFAR, ALC-CFAR, employs an adaptive composite approach based on the well-known cell averaging CFAR, CA-CFAR, and the ordered statistics, OS-CFAR, detectors. Data in the reference window is used to compute an adaptive weighting factor employed in the fusion scheme. Based on this factor, the ALC-CFAR tailors the background estimation algorithm. The conducted Monte Carlo simulation results demonstrate that the proposed detector provides low loss CFAR performance in an homogeneous environment and also performs robustly in presence of interfering targets. The performances of the ALC-CFAR detector have been evaluated and compared with that of the CA-CFAR and the OS-CFAR detectors. The obtained results are presented and discussed in this paper.

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Section: The Gain Of the Proposed Detectormentioning

confidence: 99%

A New Adaptive Linear Combined Cfar Detector in Presence of Interfering Targets

Magaz¹,

Belouchrani²,

Hamadouche³

2011

PIER B

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“…If this value is above the threshold, it is assumed that the target is detected in that cell, and the position is determined by the corresponding range. The SLB processing system generates a blanking signal when the ratio between the signals at the output of the non coherent integrators in the main and the auxiliary channels is greater than a suitable blanking threshold [1]. This signal is used to control the final decision of the CA-CFAR detector through the output gate.…”

Section: Processing Schemementioning

confidence: 99%

“…To prevent acquisition of strong target in the antenna sidelobes and also to reject pulsed interference originating in the sidelobes with maintaining constant the false alarm rate, a new adaptive sidelobe blanking (SLB) combined with the cell averaging constant false alarm rate processor (CA-CFAR), has been proposed in [1], where the closed forms formulas of the probabilities of detection, false alarm, blanking and false blanking for Swerling I target fluctuation model, are determined and the performances have been analyzed. In [3], we have extended the performance analysis of this system by introducing post integration.…”

Section: Introductionmentioning

confidence: 99%

“…In this case, the target is assumed follow the Swerling II target fluctuation model and the closed form of probabilities of detection, false alarm, blanking and false blanking are also determined and the performance of the system SLB/CA-CFAR with post integration is analyzed. In [1], we have proposed an efficient DSP implementation of a combined SLB/CA-CFAR system using TMS320C67x processor. The implementation of the proposed scheme has been realized using the TMS320C6711 hand optimized assembly code which makes whole system achieves high performance as to be capable of implement much more complex processing.…”

Section: Introductionmentioning

confidence: 99%

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Real time implementation of the combined SLB/CA-CFAR system with non coherent integration

Magaz¹,

Bencheikh²

2008

2008 International Radar Symposium

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In this paper, we present a real time DSP implementation of the combined Cell Averaging-Constant False Alarm Rate (CA-CFAR) detector and SideLobe Blanking (SLB) system with non coherent integration. The proposed approach has been implemented using the Texas Instruments TMS320C6713 processor. The designed architecture is fully reconfigurable in terms of the number of reference and guard cells as well as the sampling frequency and the coherent processing interval (number of integrated pulses). The data acquisition system can work under multimode including multi-range and different pulse width. The proposed system scheme and the real time implementation results are given in this paper.

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“…The performance of the CA-CFAR processor is degraded with this limitation of the reference window size. In [1], we have proposed the implementation of a one dimension CA-CFAR detector for range target detection using the GASW (Generalised Automated Sliding Window) technique. In this work, we propose a real time implementation of the RACA-CFAR detector with non coherent integration using both range and azimuth cells samples for noise power level estimation to increase the reference window size.…”

Section: Introductionmentioning

confidence: 99%