Title :
Generalized DFT waveforms for MIMO radar
Author :
Yuewen Wang ; Akansu, Ali N. ; Haimovich, Alexander
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. Heights, Newark, NJ, USA
Abstract :
Recently, the Generalized Discrete Fourier Transform (GDFT) with nonlinear phase was introduced to improve the traditional Discrete Fourier Transform (DFT). We take advantage of the phase shaping function (PSF) of GDFT framework to optimize auto- and cross-correlation properties of OFDM frames used to generate radar waveforms. The superior performance of the GDFT MIMO radar waveforms over multifrequency complementary phase coded (MCPC) and Oppermann code families are presented in this paper. GDFT MIMO radar waveforms may be employed in the future as an efficient upgrade to the DFT based technologies.
Keywords :
MIMO radar; OFDM modulation; correlation methods; discrete Fourier transforms; phase coding; radar signal processing; DFT waveform; MIMO radar; OFDM frames; Oppermann code; autocorrelation properties; crosscorrelation properties; generalized discrete Fourier transform; multifrequency complementary phase code; nonlinear phase; phase shaping function; Correlation; Discrete Fourier transforms; MIMO radar; Measurement; Optimization; Radar antennas;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location :
Hoboken, NJ
Print_ISBN :
978-1-4673-1070-3
DOI :
10.1109/SAM.2012.6250495