access icon free Design unimodular sequence train with low central and recurrent autocorrelation sidelobes via FFT-based cyclic algorithm

The design of unimodular sequence train with low central and recurrent autocorrelation sidelobes is considered. The design problem is formulated as a minimisation of the integrated energy in central and recurrent autocorrelations with user-supplied weights and an iterative method is proposed for it. The proposed method is computationally efficient, as its main computation can be implemented using FFT. Numeric results are reported to validate the proposed method.

Inspec keywords: iterative methods; sequences; correlation methods; fast Fourier transforms

Other keywords: user-supplied weights; unimodular sequence train design; recurrent autocorrelation sidelobes; low central sidelobes; integrated energy minimisation; FFT-based cyclic algorithm; iterative method

Subjects: Signal processing and detection; Signal processing theory; Interpolation and function approximation (numerical analysis); Integral transforms in numerical analysis; Interpolation and function approximation (numerical analysis); Integral transforms in numerical analysis

References

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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.2157
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