Title :
Doppler Velocimetry System Design and FPGA Realization
Author :
Zhilong Deng ; Liyan Liu ; Ruijun Jing ; Litao Jiao
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
Abstract :
In order to improve the accuracy of Measuring Velocity from Doppler Radar, the method of extraction proposed is based on the cycle frequency spectrum of the center of gravity for the frequency spectrum. The collected doppler radar signal is used to make simulations for Period gram Method and the frequency spectrum of gravity method. The core of FFT in IPCore of FPGA is used to implement algorithm to complete the design combined with signal conditioning circuitry and A/D data acquisition. Experimental results show that the center of gravity of the frequency spectrum of the frequency extraction methods improve the accuracy for measuring velocity.
Keywords :
Doppler measurement; Doppler radar; Kalman filters; data acquisition; fast Fourier transforms; field programmable gate arrays; radar signal processing; signal conditioning circuits; velocity measurement; A-D data acquisition; Doppler radar signal; Doppler velocimetry system design; FFT core; FPGA IPCore; FPGA realization; fast Fourier transform; frequency extraction method; gravity center cycle frequency spectrum; kalman filter; periodogram method; signal conditioning circuitry; velocity measurement; Algorithm design and analysis; Doppler radar; Field programmable gate arrays; Frequency measurement; Gravity; Signal processing algorithms; FPGA; Power spectral center of gravity; Velocimetry of Radar;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.210
