2018
DOI: 10.1155/2018/2860809
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Optimal Unimodular Sequences Design Method for Active Sensing Systems

Abstract: In active sensing systems, unimodular sequences with low autocorrelation sidelobes are widely adopted as modulation sequences to improve the distance resolution and antijamming performance. In this paper, in order to meet the requirements of specific practical engineering applications such as suppressing certain correlation coefficients and finite phase, we propose a new algorithm to design both continuous phase and finite phase unimodular sequences with a low periodic weighted integrated sidelobe level (WISL)… Show more

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Cited by 3 publications
(9 citation statements)
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“…In Fig. 7, the autocorrelation properties of 100-element long waveform, PWCIA (Periodic Correlation Weighted Cyclic Iteration Algorithm) generated by a sequence of 8 phases proposed by Li et al in [27] are compared with our proposed 128-element long, 8-phase SC-FDMA waveform initiated by 64-element Frank code; each with a chipwidth of 1µs. The plots show that the autocorrelation of our waveform is better than that of the PWCIA waveform except at the recurring grating lobe points.…”
Section: B Auto-correlation Propertiesmentioning
confidence: 99%
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“…In Fig. 7, the autocorrelation properties of 100-element long waveform, PWCIA (Periodic Correlation Weighted Cyclic Iteration Algorithm) generated by a sequence of 8 phases proposed by Li et al in [27] are compared with our proposed 128-element long, 8-phase SC-FDMA waveform initiated by 64-element Frank code; each with a chipwidth of 1µs. The plots show that the autocorrelation of our waveform is better than that of the PWCIA waveform except at the recurring grating lobe points.…”
Section: B Auto-correlation Propertiesmentioning
confidence: 99%
“…Autocorrelation of PWCIA waveform with 8-phases and 100 subsequences [27] verses the proposed 8-phase SC-FDMA waveform (initiated with 8-phase Frank code) when grating lobes are resolved. Fig.…”
Section: Figurementioning
confidence: 99%
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