1997
DOI: 10.1049/el:19970916
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Acquisition of PN code with adaptive threshold forDS/SScommunications

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Cited by 17 publications
(8 citation statements)
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“…We observe that the proposed system exhibits the same performances as the AHAP(0) and performs slightly better than the OSHAP. Noting also that the proposed system reduces to the AHAP(0) which is known to be the most appropriate processor in such a homogeneous environment [11]. Figure 7a and b give a performance comparison for the proposed system, the AHAP(3) and the OSHAP in the presence of two and six multipaths with uniform and exponentially decaying MIP, respectively.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…We observe that the proposed system exhibits the same performances as the AHAP(0) and performs slightly better than the OSHAP. Noting also that the proposed system reduces to the AHAP(0) which is known to be the most appropriate processor in such a homogeneous environment [11]. Figure 7a and b give a performance comparison for the proposed system, the AHAP(3) and the OSHAP in the presence of two and six multipaths with uniform and exponentially decaying MIP, respectively.…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Reference [2][3][4] discussed algorithms for dynamically adjusting threshold according to the incoming signal power. This method is not appropriate for laser radar since its signal length cannot be too long, and the convergence ratio of the algorithms largely affects the decoding ratio.…”
Section: Proposed Methods For Decoding Laser Radar Signalmentioning
confidence: 99%
“…The upper figure shows the case of setting threshold at 1 Th when the signal power in code 1 time slot is weak. The lower one shows that the threshold is adjusted to 2 Th when strong signal is received. On the other hand, in (b), threshold is fixed at 1 Th .…”
Section: Proposed Methods For Decoding Laser Radar Signalmentioning
confidence: 99%
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“…Literature [1] - [3] proposed three adaptive threshold schemes, that is, MLAP, OSAP, AAP. They all adjust thresholds according to the decision variable (related accumulated value) and make great progress when compared with the fixed threshold detection.…”
Section: Introductionmentioning
confidence: 99%