Optimization methods for sequence design with low autocorrelation sidelobes
Junxiao Song, Prabhu Babu, Daniel P. Palomar
Abstract
Unimodular sequences with low autocorrelations are desired in many applications, especially in the area of radar and code-division multiple access (CDMA). In this paper, we propose a new algorithm to design unimodular sequences with low integrated sidelobe level (ISL), which is a widely used measure of the goodness of a sequence's correlation property. The algorithm falls into the general framework of majorization-minimization (MM) algorithms and thus shares the monotonic property of such algorithms. In addition, the algorithm can be implemented via fast Fourier transform (FFT) operations and thus is computationally efficient. Numerical experiments show that the proposed algorithm outperforms the state-of-the-art algorithm in terms of both the quality of designed sequences and the computational complexity.
BibTeX
@inproceedings{icassp2015_optimizationmeth,
title = {Optimization methods for sequence design with low autocorrelation sidelobes},
author = {Junxiao Song and Prabhu Babu and Daniel P. Palomar},
booktitle = {ICASSP 2015},
year = {2015}
}