DocumentCode :
1248156
Title :
New Sequences Design From Weil Representation With Low Two-Dimensional Correlation in Both Time and Phase Shifts
Author :
Wang, Zilong ; Gong, Guang
Author_Institution :
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´´an, China
Volume :
57
Issue :
7
fYear :
2011
fDate :
7/1/2011 12:00:00 AM
Firstpage :
4600
Lastpage :
4611
Abstract :
A new elementary expression of the construction first proposed by Gurevich, Hadani, and Sochen is given, which avoids the explicit use of the Weil representation. The sequences in this signal set are given by both multiplicative character and additive character of finite field Fp. Such a signal set consists of p2(p-2) time-shift distinct sequences, the magnitude of the two-dimensional autocorrelation function (i.e., the ambiguity function) in both time and phase of each sequence is upper bounded by 2√p at any shift not equal to (0, 0). Furthermore, the magnitude of their Fourier transform spectrum is less than or equal to 2. For a subset consisting of p(p-2) phase-shift distinct sequences in this signal set, the magnitude of the ambiguity function of any pair is upper bounded by 4√p. A proof is given through finding a new expression of the sequences in the finite harmonic oscillator system. An open problem for directly establishing these assertions without involving the Weil representation is addressed.
Keywords :
Fourier transforms; correlation methods; harmonic oscillators; sequences; signal representation; Fourier transform spectrum; Weil representation; additive character; ambiguity function; finite field; finite harmonic oscillator system; low two-dimensional correlation; multiplicative character; phase-shift distinct sequences; signal set representation; time-shift distinct sequences; two-dimensional autocorrelation function; upper bound; Correlation; Discrete Fourier transforms; Eigenvalues and eigenfunctions; Finite element methods; Generators; OFDM; Oscillators; Ambiguity function; Fourier transform; Weil representation; autocorrelation; cross correlation; sequence;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2011.2145450
Filename :
5895103
Link To Document :
بازگشت