Park, Kwi Woo, Lee, Sangwoo, Lee, Min Joon, Kim, Sunwoo, and Park, Chansik
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference on. :1412-1416 Dec, 2015
This paper presents result of new approach for anti-jamming using a method based on cognitive radio. To detect and get center frequency and bandwidth of jamming, a spectrum sensing based on multi-channel energy detector is implemented on the SDR. The SDR and a universal software radio peripheral is used to support real-time channel reconfiguration. And detected center frequency and bandwidth is used to select LO frequency to avoid jamming and receive GNSS signal. Then the receiver is reconfigured by the selected LO frequency. To verify the feasibility of the proposed anti-jamming process, position, carrier to noise ratio of each channel are measured using a test scenario that is consist of GPS and Beidou with a CW jamming. As a results, by switching of LO frequency, GNSS signal that is not affected by jamming can be received with the same performance as non-jamming.
In this paper, we design and implement GPU-based non-coherent GPS signal tracking module for real-time SDR. When using CPU and GPU simultaneously, the signal tracking module should be designed considering the memory bottleneck between the two processors. The basic non-coherent module, which accumulates the 1msec correlation value 20 times, is changed to accumulate M(20/N) times of Nmsec units. From the experiments using real GPS signals, the computational performance of N=20 is improved by 80% compared to N=1. Therefore, the implemented SDR using notebook computer can tracks more channels simultaneously in the real time.
