DocumentCode :
2783048
Title :
Design of unimodular sequences using generalized receivers
Author :
Pillai, S. Unnikrishna ; Li, Ke Yong ; Zheng, Richeng ; Himed, Braham
Author_Institution :
Dept. of EE, Polytech. Inst. of NYU, Brooklyn, NY, USA
fYear :
2010
fDate :
10-14 May 2010
Firstpage :
729
Lastpage :
734
Abstract :
This paper reviews recent advances in designing unimodular sequences with good auto/cross correlation properties along with a new approach that emphasizes on independent receiver design. The general problem is to design single or multiple sequences with constant modulus in the time-domain such that their respective matched filter outputs ideally resemble delta functions and the cross-matched filter outputs are zeros. In this context CAN (cyclic-algorithm new) and WeCAN (Weighted CAN) have been proposed for designing such sequences with good auto-cross correlation properties. In this paper, the equivalence of the CAN algorithms and the classic Gerchberg-Saxton (GS) algorithm involving the sequential magnitude substitution operations in the time and frequency domain is demonstrated. The design of unimodular sequences is further generalized here by considering the receiver design to be more general than the respective matched input sequences. The receiver design is carried out by taking care of the desired output requirements and the freedom present at the input can be used to further minimize the output side-lobe level.
Keywords :
correlation methods; frequency-domain analysis; matched filters; radar receivers; time-domain analysis; Gerchberg-Saxton algorithm; WeCAN; auto correlation properties; context CAN; cross correlation properties; cross-matched filter outputs; cyclic-algorithm new; delta functions; frequency domain; generalized receiver design; sequential magnitude substitution operations; time domain; unimodular sequences; weighted CAN; Autocorrelation; Bandwidth; Fourier transforms; Frequency domain analysis; Impedance matching; Matched filters; Nearest neighbor searches; Signal design; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2010 IEEE
Conference_Location :
Washington, DC
ISSN :
1097-5659
Print_ISBN :
978-1-4244-5811-0
Type :
conf
DOI :
10.1109/RADAR.2010.5494526
Filename :
5494526
Link To Document :
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