Primitive polynomials for iterative recursive soft sequential acquisition of concatenated sequences
Primitive polynomials for iterative recursive soft sequential acquisition of concatenated sequences
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.
acquisition time (AT), concatenated sequence, EXIT chart, m-sequence, pseudo-noise (PN), Recursive soft sequential estimation (RSSE)
13882-13900
Ahmed, Abbas
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Botsinis, Panagiotis
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Won, Seunghwan
2b55c878-6faf-48f5-98e5-64342b58af53
Yang, Lie Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ahmed, Abbas
8b36aae0-dcc6-4cb7-8dc6-2e0f84d54e06
Botsinis, Panagiotis
d7927fb0-95ca-4969-9f8c-1c0455524a1f
Won, Seunghwan
2b55c878-6faf-48f5-98e5-64342b58af53
Yang, Lie Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Ahmed, Abbas, Botsinis, Panagiotis, Won, Seunghwan, Yang, Lie Liang and Hanzo, Lajos
(2019)
Primitive polynomials for iterative recursive soft sequential acquisition of concatenated sequences.
IEEE Access, 7, , [8610079].
(doi:10.1109/ACCESS.2019.2892375).
Abstract
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.
Text
08610079
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Accepted/In Press date: 11 December 2018
e-pub ahead of print date: 11 January 2019
Keywords:
acquisition time (AT), concatenated sequence, EXIT chart, m-sequence, pseudo-noise (PN), Recursive soft sequential estimation (RSSE)
Identifiers
Local EPrints ID: 428594
URI: http://eprints.soton.ac.uk/id/eprint/428594
ISSN: 2169-3536
PURE UUID: fbfc4cd5-d7ee-4d42-9dfd-90c25b252d42
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Date deposited: 04 Mar 2019 17:30
Last modified: 06 Jun 2024 01:37
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Contributors
Author:
Abbas Ahmed
Author:
Panagiotis Botsinis
Author:
Lie Liang Yang
Author:
Lajos Hanzo
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