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Correlation Function Algorithm of Time-Hopping Sequences for TH-UWB
Time-hopping (TH) sequences play an important role in time-hopping ultra wideband (TH-UWB) communication systems. The proper measure for the performance of TH sequences is time-hopping correlation function (TH-CF). For TH sequences with a long period, the total number of computations to implement directly TH-CF will be huge, and it will increase very rapidly as the period increases. Hence, it is of practical interest to develop more efficient algorithm for computing TH-CF. In this paper, by transforming the decimal TH-CF into a binary one, a fast TH-CF algorithm is proposed on the basis of the well-known fast Fourier transform (FFT). The presented algorithm can obviously decrease the number of computations of TH-CF, which will result in significant improvement in the computer-based evaluation of TH correlation properties.
Correlation Function Algorithm of Time-Hopping Sequences for TH-UWB
Time-hopping (TH) sequences play an important role in time-hopping ultra wideband (TH-UWB) communication systems. The proper measure for the performance of TH sequences is time-hopping correlation function (TH-CF). For TH sequences with a long period, the total number of computations to implement directly TH-CF will be huge, and it will increase very rapidly as the period increases. Hence, it is of practical interest to develop more efficient algorithm for computing TH-CF. In this paper, by transforming the decimal TH-CF into a binary one, a fast TH-CF algorithm is proposed on the basis of the well-known fast Fourier transform (FFT). The presented algorithm can obviously decrease the number of computations of TH-CF, which will result in significant improvement in the computer-based evaluation of TH correlation properties.
Correlation Function Algorithm of Time-Hopping Sequences for TH-UWB
Zhang, Zhenyu (Autor:in) / Xuan, Guixin (Autor:in) / Zeng, Fanxin (Autor:in) / Ge, Lijia (Autor:in)
01.06.2006
4126472 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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