New algorithms for designing unimodular sequences with good correlation properties
IEEE Transactions on Signal Processing
New M-ary sequence families with low correlation and large size
IEEE Transactions on Information Theory
Designing unimodular sequence sets with good correlations: including an application to MIMO radar
IEEE Transactions on Signal Processing
Signal Synthesis and Receiver Design for MIMO Radar Imaging
IEEE Transactions on Signal Processing - Part II
Polyphase code design for Orthogonal Netted Radar systems
IEEE Transactions on Signal Processing
A new class of zero-correlation zone sequences
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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Sequence sets with good periodic correlation properties can be used in many areas, including communications, medical imaging, radar (such as over-the-horizon radar) and sonar. Practical hardware constraints, such as power amplifiers, usually require the transmitted waveforms be unimodular. We present herein new computationally efficient algorithms that can be used for the design of unimodular sequence sets with essentially zero auto-correlation sidelobes and cross-correlations in a specified time lag zone, as well as of sequence sets with good correlations over all time lags. The proposed algorithms start from random phase initializations and can generate many different sequence sets (including very long sequence sets) possessing similarly good correlation properties.