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In this study, the authors present an algorithm to detect unknown interference in slow frequency-hopped quadrature phase-shift-keying systems. Both partial-band noise interference and multitone interference are considered. The algorithm is developed based on the correlator outputs over one hop. A suitable threshold level is derived for detection. T...
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This paper proposes a framework of the energy efficiency and spectral efficiency tradeoff with consideration of fairness in spectrum-sharing networks. We first formulate the optimization problem, where the objective is to maximize both spectral efficiency and energy efficiency simultaneously, subject to constraints on rate outage probability. Then,...
Citations
... Since the research on jamming detection in FH systems has received little attention, only a few related works have been published. The existing jamming detection algorithms in FH systems [28], [29] belong to the jamming existence judgement algorithms, which mainly focus on judging the existence of jamming in the received signal but cannot obtain any other relevant jamming information, such as jamming center frequency, jamming bandwidth, and JNR. In slow FH systems, the algorithms based on the correlator outputs used for demodulation [28] and the square-law detector outputs over one hop duration [29] can detect partial-band noise interference and multi-tone interference in the received signal. ...
... The existing jamming detection algorithms in FH systems [28], [29] belong to the jamming existence judgement algorithms, which mainly focus on judging the existence of jamming in the received signal but cannot obtain any other relevant jamming information, such as jamming center frequency, jamming bandwidth, and JNR. In slow FH systems, the algorithms based on the correlator outputs used for demodulation [28] and the square-law detector outputs over one hop duration [29] can detect partial-band noise interference and multi-tone interference in the received signal. Since the received signal used to construct the detection statistics must be dehopped by the receiver first, the jamming detectors designed in [28] and [29] cannot work until the receiver completes the timing and frequency synchronization of the FH signal. ...
... In slow FH systems, the algorithms based on the correlator outputs used for demodulation [28] and the square-law detector outputs over one hop duration [29] can detect partial-band noise interference and multi-tone interference in the received signal. Since the received signal used to construct the detection statistics must be dehopped by the receiver first, the jamming detectors designed in [28] and [29] cannot work until the receiver completes the timing and frequency synchronization of the FH signal. In the actual communication situation, jamming detection and suppression usually need to be completed before the time-frequency synchronization because the synchronization process is vulnerable to the jamming attacks. ...
Accurate jamming detection in the broadband frequency hopping (FH) systems plays a vital role in improving the anti-jamming performance of the communication systems. The traditional jamming detection algorithms are prone to misjudge FH communication signals as jamming signals, leading to inaccurate jamming detection. Therefore, this paper proposes a jamming detection algorithm for broadband FH systems based on multi-segment signals spectrum clustering (MSSC). According to the difference in the time-frequency characteristics between FH signals and jamming signals, the proposed algorithm accurately detects the jamming by clustering the spectral components of signals in multiple periods. In addition, a jamming detector suitable for broadband FH systems is designed and the theoretical solution to the threshold factor of signal detection based on the Welch spectrum is also given in this paper. The simulation results show that the MSSC-based jamming detection algorithm proposed in this paper can reduce the jamming false detection probability and significantly improve the estimation accuracy of jamming parameters, effectively overcoming the defects of the traditional FFT-based energy detection and the multi-hop accumulation algorithms whose detection accuracy is sensitive to FH signals.
