Unimodular sequences with low-autocorrelation sidelobes are employed in various applications of radar and communication systems. Suppressing some predetermined autocorrelation sidelobes of a designed sequence can be a...
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Unimodular sequences with low-autocorrelation sidelobes are employed in various applications of radar and communication systems. Suppressing some predetermined autocorrelation sidelobes of a designed sequence can be accomplished by performing minimisation of the metric of weighted integrated sidelobe level (WISL). In this study, the authors propose a new algorithm to design unimodular sequences utilising the majorisation minimisation (MM) method for directly minimising WISL in the frequencydomain. The proposed algorithm allows the design of long sequences in a computationally efficient manner. As the first step of the algorithm, a function majorising the frequencydomain representation of the WISL metric is introduced. Then, a closed-form solution for the minimisation of WISL is derived followed by its realisation as an iterative algorithm. They also provide an acceleration scheme to allow efficient implementation of the designed algorithm. Numerical experiments show that the proposed algorithm not only outperforms existing cyclic algorithms with respect to computation time and suppression of desired autocorrelation sidelobes but also converges in less number of iterations than its time domain MM-based counterparts.
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