SNR-based Adaptive Threshold Decision PN Code Acquisition Algorithm
Yaobo Shang, Ying Guo, Yuanhang Xu, Lifeng Han, Ruilian Tan
Available Online January 2014.
- https://doi.org/10.2991/ccit-14.2014.33How to use a DOI?
- adaptive threshold, signal detection, false alarm probability, acquisition
- This paper proposes an algorithm based on noise power and SNR (signal to noise ratio) for adaptive threshold proposed PN code acquisition problem. First, this algorithm adjusts the threshold based on SNR through setting parameters, then smoothes the threshold waveform by median filters. It reduces error acquisition caused by fluctuations. Finally, by limiting filters, it makes the threshold reduces the false alarm probability caused by glitches at a certain noise level. This paper proves that the system's detection probability and false alarm probability are obviously improved comparing improved algorithm and original one through the analysis of false alarm probability and detection probability using improved algorithm and Monte Carlo simulation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yaobo Shang AU - Ying Guo AU - Yuanhang Xu AU - Lifeng Han AU - Ruilian Tan PY - 2014/01 DA - 2014/01 TI - SNR-based Adaptive Threshold Decision PN Code Acquisition Algorithm BT - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/ccit-14.2014.33 DO - https://doi.org/10.2991/ccit-14.2014.33 ID - Shang2014/01 ER -