signal to noise ratio (SNR) and higher bandwidth, as compared to other pulse compression techniques prompts us to choose Linear Frequency Modulation Continuous Wave (LFM-CW). In this paper different architectures of DDS have been discussed. In particular DDS based on Look Up Table (LUT), CORDIC algorithm and IIR filter have been implemented. Finally, a chirp signal required for µSAR is generated using LUT based DDS, based on parameters specified by Brigham Young University µSAR system.

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Micro-SAR Waveform Generation using FPGA

R. Madhuri Muddapu*, M.T. Abhilash**
* M. Tech Student, Department of Electronics Engineering, Defence Institute of Advance Technology, Pune, India.
** Assistant Professor, Department of Electronics Engineering, Defence Institute of Advance Technology, Pune, India.
Periodicity:February - April'2012
DOI : https://doi.org/10.26634/jes.1.1.1732

Abstract

This paper presents an FPGA based waveform generator for Micro-SAR (µSAR). µSAR is a low-cost, light-weight, and low power consumption (18 watts) for Unmanned Aerial Vehicle (UAV) based applications. A chirp signal offers the advantages of better range accuracy, range resolution and Doppler sensitivity. In addition, better signal to noise ratio (SNR) and higher bandwidth, as compared to other pulse compression techniques prompts us to choose Linear Frequency Modulation Continuous Wave (LFM-CW). In this paper different architectures of DDS have been discussed. In particular DDS based on Look Up Table (LUT), CORDIC algorithm and IIR filter have been implemented. Finally, a chirp signal required for µSAR is generated using LUT based DDS, based on parameters specified by Brigham Young University µSAR system.

Keywords

Micro-SAR, DDS, LFM-CW, Chirp signal, Range Resolution.

How to Cite this Article?

Muddapu,M.R., and Abhilash.M.T. (2012). Micro-SAR Waveform Generation Using FPGA. i-manager’s Journal on Embedded Systems. 1(1), 29-36. https://doi.org/10.26634/jes.1.1.1732

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