Paper
21 June 2011 Design and implementation of random noise radar with spectral-domain correlation for moving target detection
Author Affiliations +
Abstract
A correlation processing algorithm in the spectral domain is proposed for detecting moving targets with random noise radar. AD converted reference and Rx signals are passed through FFT block, and they are multiplied after the reference signal is complex conjugated. Now inverse FFT yields the sub-correlation results, and range and velocity information can be accurately extracted by an additional FFT processing. In this design procedure, specific considerations have to be made for correlation length, averaging number, and number of sub-correlation data for Doppler processing. The proposed algorithm was verified by Simulink (Mathworks) simulation, and its logic was implemented with Xilinx FPGA device (Vertex5 series) by System Generator block sets (Xilinx) in the Simulink environment. A CW X-band random-FM noise radar prototype with an instantaneous bandwidth of 100 MHz was designed and implemented, and laboratory and field tests were conducted to detect moving targets, and the observed results showed the validity of the proposed algorithm and the operation of implemented FPGA logics.
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Jeong Phill Kim, Chi Hyun Jeong, and Cheol Hoo Kim "Design and implementation of random noise radar with spectral-domain correlation for moving target detection", Proc. SPIE 8021, Radar Sensor Technology XV, 80211E (21 June 2011); https://doi.org/10.1117/12.884471
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KEYWORDS
Radar

Target detection

Optical correlators

Signal processing

Field programmable gate arrays

Interference (communication)

Detection and tracking algorithms

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