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OS-CFAR and CA-CFAR Performance Study in Measured

Land Clutter

by Asem Melebari, M. Y. Abdul Gaffar, R. De Wind,

Amer Melebari, F. Alzaid

1 National Center for Sensors and Defense Systems Technology

Problem Statement

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Detect slow moving ground vehicles in a Saudi Arabia environment and achieve a constant false alarm rate.

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Problem Statement

1. Delores Johnson , (2014), Tawazun military vehicles [ONLINE]. Available at: http://www.thenational.ae/uae/technology/military-special-forces-to-meet-at-amman-conference.

Figure 1: Tawazun military vehicles 1

2. Ministry of Defense UK [ONLINE]. Available at: http://www.defenceimagery.mod.uk

Figure 2: Military vehicles 1

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• Introduction

• Radar & RSP configurations

• Measured land clutter

• Detection in measured land Clutter

• Future Work

• Conclusion

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Outline

Introduction

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• CFAR algorithms fix the false alarm rate.

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Introduction

Figure 3: CFAR processor diagram3

3. Richards, Mark A.; James A. Scheer; William A. Holm, Principles of Modern Radar, Raleigh, NC: SciTech Publishing, 2010.

Radar & RSP configurations

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• X-band radar.

• The transmitted pulse was

a square pulse with linear

frequency modulation.

• The waveform bandwidth

was 400 MHz

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Radar Configuration

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• Digital Down mixing.

• Transmitted pulse was windowed in the pulse compression process.

• Windowing was applied in slow time before Doppler processing.

• Two CFAR algorithms were used: Cell Averaging CFAR (CA-CFAR) and Ordered Statistic CFAR (OS-CFAR).

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RSP Configuration

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• Ignore the Doppler bins close to zero Doppler in detection.

• Point targets were added in the Range-Doppler map.

• The target fluctuation was set to be Swerling one.

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RSP Configuration

11 National Center for Sensors and Defense Systems Technology

CFAR Windows

Doppler

Range

Range

a. 2-D

Doppler

Range

c. 1-D Doppler

b. 1-D Range

CUT

Guard Cells

Reference Cells

Ranged. 2-D Mod.

Doppler

Doppler / p

ulses

Measured Land Clutter

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Date Farm

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Date Farm

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Detection in Measured Land Clutter

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• PD: probability of detection.

• PFA: probability of false alarm.

• PFA error: relative error between desired PFA and the actual PFA.

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Detection in Land Clutter

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OS-CFAR

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OS-CFAR

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CA-CFAR

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CA-CFAR

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• Windowing in slow time produces correlation in slow time.

• Windowing the transmitted pulse causes a mismatch in the pulse compression process.

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Windowing Effect

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CFAR Windows

Doppler

Range

Range

a. 2-D

Doppler

Range

c. 1-D Doppler

b. 1-D Range

CUT

Guard Cells

Reference Cells

Ranged. 2-D Mod.

Doppler

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Date Farm

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OS-CFAR

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OS-CFAR

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CA-CFAR

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CA-CFAR

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Future Work

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• Fix the PFA when windowing function is applied.

• Use more various types of clutter in different weather condition.

• Detecting very slow moving targets.

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Future Work

Conclusion

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• Detecting land target is similar to detection in noise for fast moving targets.

• Windowing in slow time or the transmit pulse causes a large error in the PFA.

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Conclusion

Thank You

32 National Center for Sensors and Defense Systems Technology

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