The Masar Project: Design and Development

Koo, Voon Chet; Chan, Yee Kit; Vetharatnam, Gobi; Lim, Theam Soon; Chung, Boon-Kuan; Chuah, H. T.

doi:10.2528/pier04071201

Cited by 9 publications

(8 citation statements)

References 11 publications

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“…It has been long used for wide range of applications such as imaging for earth monitoring application, missile guidance in military application and remote sensing for environmental and weather forecast applications [1][2][3][4][5][6][7][8]. In principle, radar is an active sensor.…”

Section: Ground Surface Deformation Measurement and Monitoringmentioning

confidence: 99%

A Miniature Real-Time Re-Configurable Radar Waveform Synthesizer for Uav Based Radar

Chua

Boey²,

Lim³

et al. 2012

PIER C

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Abstract-Radar waveform synthesizer is a key component in radar system as it determines the best achievable resolution. In this paper, a miniature and low cost radar waveform synthesizer is proposed. The synthesizer is targeted for Unmanned Aerial Vehicle (UAV) based radar system applications that require miniaturized equipment due to limited space in aircraft's fuselage. The waveform synthesizer has been developed using Altera DE3 development board (Stratix III FPGA) and a custom made dual-channel 420 MSPS HS-DAC board. The proposed system is capable of generating various types of radar waveforms: a) Linear Frequency Modulated (LFM) or chirp pulse, b) Frequency Modulated Continuous Wave (FMCW), and c) Calibration Tone (Cal-Tone), for use in different types of radar applications. The distinguishing feature of the proposed synthesizer is its capability in re-configuring the signal properties in real-time. The performance of the synthesizer has been benchmarked with commercially available radar waveform synthesizer and comparable performance has been observed.

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Section: Ground Surface Deformation Measurement and Monitoringmentioning

confidence: 99%

A Miniature Real-Time Re-Configurable Radar Waveform Synthesizer for Uav Based Radar

Chua

Boey²,

Lim³

et al. 2012

PIER C

Self Cite

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“…Evaluate the fitness value for each solution vector using Eqs. (8) and (9) to find the best solution which minimize θ e . 3.…”

Section: Particle Swarm Optimization Based Autofocus (Psoa)mentioning

confidence: 99%

“…The x direction (slant-range) is the direction perpendicular to the flight path of the radar platform and k x as it corresponding spatial frequency, the SAR raw signal s(x, y) can be defined as [8]:…”

Section: System Modelmentioning

confidence: 99%

A Sar Autofocus Algorithm Based on Particle Swarm Optimization

Lim¹,

Koo²,

Ewe³

et al. 2008

PIER B

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Abstract-In synthetic aperture radar (SAR) processing, autofocus techniques are commonly used to improve SAR image quality by removing its residual phase errors after conventional motion compensation. This paper highlights a SAR autofocus algorithm based on particle swarm optimization (PSO). PSO is a population-based stochastic optimization technique based on the movement of swarms and inspired by social behavior of bird flocking or fish schooling. PSO has been successfully applied in many different application areas due to its robustness and simplicity [1][2][3]. This paper presents a novel approach to solve the low-frequency high-order polynomial and highfrequency sinusoidal phase errors. The power-to-spreading noise ratio (PSR) and image entropy (IE) are used as the focal quality indicator to search for optimum solution. The algorithm is tested on both simulated two-dimensional point target and real SAR raw data from RADARSAT-1. The results show significant improvement in SAR image focus quality after the distorted SAR signal was compensated by the proposed algorithm.

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“…This project was started after preparatory studies in the previous year [27][28][29][30][31]. The proposed system is a C-band, V V -polarization, miniature SAR mounted on a small UAV.…”

Section: Introductionmentioning

confidence: 99%

A New Unmanned Aerial Vehicle Synthetic Aperture Radar for Environmental Monitoring

Koo¹,

Chan²,

Vetharatnam³

et al. 2012

PIER

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105

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Abstract-A new Unmanned Aerial Vehicle (UAV) Synthetic Aperture Radar (SAR) has been developed at Multimedia University, in collaboration with Agency of Remote Sensing Malaysia. The SAR operates at C-band, single V V -polarization, with 5 m × 5 m spatial resolution. Its unique features include compact in size, light weight, low power and capable of performing real-time imaging. A series of field measurements and flight tests has been conducted and good quality SAR images have been obtained. The system will be used for monitoring and management of earth resources such as paddy fields, oil palm plantation and soil surface. This paper reports the system design and development, as well as some preliminary results of the UAVSAR.

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The Masar Project: Design and Development

Cited by 9 publications

References 11 publications

A Miniature Real-Time Re-Configurable Radar Waveform Synthesizer for Uav Based Radar

A Miniature Real-Time Re-Configurable Radar Waveform Synthesizer for Uav Based Radar

A Sar Autofocus Algorithm Based on Particle Swarm Optimization

A New Unmanned Aerial Vehicle Synthetic Aperture Radar for Environmental Monitoring

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