Title :
A new approach to compress Multicarrier Phase-Coded signals
Author :
Mohseni, R. ; Sheikhi, A. ; Shirazi, M. A Masnadi
Author_Institution :
Dept. of Electr. & Electron. Eng., Shiraz Univ., Shiraz
Abstract :
Multicarrier Phase Coded signals have been recently introduced to achieve high range resolution in radar systems. As in single carrier phase coded radars, the conventional method for compression of these signals is based on using matched filter or indirect computation of an autocorrelation function. In this paper we propose a new method based on Fast Fourier Transform (FFT) that has lower computational complexity compared to the traditional approach. It has been approved that the proposed method is mathematically equivalent to matched filtering, so there is no processing loss. This approach can also be used to estimate the channel characteristics at any subcarrier frequencies.
Keywords :
codes; computational complexity; fast Fourier transforms; radar resolution; channel characteristics; compress multicarrier phase coded signals; computational complexity; fast Fourier transform; matched filtering; subcarrier frequencies; Autocorrelation; Computational complexity; Fast Fourier transforms; Filtering; Frequency estimation; Matched filters; Radar; Signal resolution; Multicarrier Phase Coded signals; OFDM radars; Pulse compression;
Conference_Titel :
Radar Conference, 2008. RADAR '08. IEEE
Conference_Location :
Rome
Print_ISBN :
978-1-4244-1538-0
Electronic_ISBN :
1097-5659
DOI :
10.1109/RADAR.2008.4720800