Parameter Estimation of Polyphase Code Signals Based on Periodic FRFT
- 10.2991/aiea-16.2016.72How to use a DOI?
- Radar reconnaissance; polyphase code; continuous wave; signal detection; Periodic FRFT.
In order to improve the ability to intercepting polyphase code continuous wave signals for the radar reconnaissance receiver, a polyphase code continuous wave signals detection algorithm based on Periodic Fractional Fourier transform (Periodic FRFT, PFRFT) is proposed. In this paper, the PFRFT and its properties of linear frequency modulated continuous wave signals are studied. And the characteristics of linear frequency modulated continuous wave (LFMCW) signals of polyphase code continuous wave signals is analyzed. According to the similarity between the polyphase code continuous wave signals and the linear frequency modulated continuous wave signals, a polyphase code continuous wave signals detection algorithm based on PFRFT is proposed, also the realization process is given, and then the detection performance and parameter estimation performance are analyzed. Simulation results show that, compared with other existing algorithms, the proposed algorithm has better ability to detecting weak signal, and the minimum detectable signal to noise ratio (SNR) can be reduced by at least 6 dB, which is further reduced with the observation time extended.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jiandong Zhu AU - Tengfei Jia AU - Yanfei Wei AU - Zhiqiang Ji AU - Youyi Fan AU - Junkui Xu PY - 2016/11 DA - 2016/11 TI - Parameter Estimation of Polyphase Code Signals Based on Periodic FRFT BT - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications PB - Atlantis Press SP - 405 EP - 412 SN - 2352-538X UR - https://doi.org/10.2991/aiea-16.2016.72 DO - 10.2991/aiea-16.2016.72 ID - Zhu2016/11 ER -