Primitive Polynomials for Iterative Recursive Soft Sequential Acquisition of Concatenated Sequences
Primitive Polynomials for Iterative Recursive Soft Sequential Acquisition of Concatenated Sequences
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DOI:
10.1109/access.2019.2892375
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发表时间:
2019-01
期刊:
影响因子:
3.9
通讯作者:
Abbas Ahmed;Panagiotis Botsinis;S. Won;Lie-liang Yang;L. Hanzo
中科院分区:
文献类型:
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作者:
Abbas Ahmed;Panagiotis Botsinis;S. Won;Lie-liang Yang;L. Hanzo
An iterative initial sequence acquisition technique is proposed for the pseudo-noise signal derived from a pair of $m$ -sequences used for generating the concatenated sequence, which relies on the soft-in-soft-out detection to improve the acquisition performance. This recursive soft sequential estimation technique has a linearly increasing complexity with the number of chips in the concatenated sequence. Receiving as few as $S$ consecutive chips of a ( $2^{S}-1$ )-chip sequence is sufficient for the local concatenated-sequence generator of the receiver to synchronize. Hence, this initial synchronization technique is eminently suitable for long $m$ -sequences and concatenated sequences. Another key result is the comparison of $m$ -sequences and concatenated sequences regarding the acquisition time. It is also observed that low-order primitive polynomials (PPs) achieve better performances than higher-order polynomials for both the $m$ -sequences and concatenated sequences. When considering PPs having a higher number of taps, the exploitation of concatenated sequences is capable of achieving in excess of 3-dB signal-to-noise ratio gains over $m$ -sequences.