Jammed FH-FSK performance in Rayleigh and Nakagami-m fading

McGuffin, B.F.

doi:10.1109/milcom.2003.1290325

Cited by 6 publications

(2 citation statements)

References 9 publications

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“…When m > 1, it gives the fading that is less severe than Rayleigh. Furthermore, when m = ∞, it simplifies to AWGN [9]. The fading figures and variances of h 0 , h 1 , h 2 , h 3 , and h 4 are respectively denoted as {m 0 , β 0 }, {m 1 , β 1 }, {m 2 , β 2 }, {m 3 , β 3 }, and {m 4 , β 4 }.…”

Section: B Channel Modelmentioning

confidence: 99%

Performance Analysis of a Cognitive Radio Network With an Energy Harvesting Secondary Transmitter Under Nakagami- ${m}$ Fading

et al. 2018

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In this paper, we consider an overlay cognitive radio network, in which a secondary transmitter (ST) is willing to relay the information of a primary transmitter toward a primary receiver. In return, ST can access the licensed band to send its own information superimposed with the primary signal to a secondary receiver. The power-limited ST uses a power splitting protocol to harvest energy from its received signal to increase its transmit power. We analyze the performance of the primary and the secondary systems under independent Nakagami-m fading by deriving their corresponding outage probabilities in integralbased expressions. In addition, by considering the high signalto-noise ratio, we obtain very tight closed-form approximations of the outage probabilities. Thereafter, by further analyzing the approximations, we reveal novel insights on the diversity orders and coding gains of the two systems. Our analytical results are validated through extensive Monte-Carlo simulations.Index Terms-Cognitive radio networks, RF-based energy harvesting, decode-and-forward, outage probability, diversity order, coding gain, Nakagami-m fading.

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Section: B Channel Modelmentioning

confidence: 99%

Performance Analysis of a Cognitive Radio Network With an Energy Harvesting Secondary Transmitter Under Nakagami- ${m}$ Fading

et al. 2018

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“…Frequency hopping spread spectrum is extensively analyzed in terms of the bit error rate for different channel models and jamming scenarios using different receiver structures. In [34] the performance of FH/BFSK is analyzed in terms of bit error rate (BER) in the presence of wideband and partial band jamming (PBJ) in Rayleigh and Nakagami channel fading models. The performance of non-coherent FFH/BFSK in the presence of PBJ and in the absence of fading is examined in [35].…”

Section: Literature Reviewmentioning

confidence: 99%

Improved Jamming-Resistant Frequency Hopping Spread Spectrum Systems

Atta¹

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Frequency hopping spread spectrum is widely used in military applications to provide communication between command posts, soldiers, vehicles, sensors, missile launchers, etc. It provides good protection against the effects of frequency selective fading, and can be robust in jamming environments. Traditional frequency hopping spread spectrum involves dividing the available spectrum into a large number of sub-bands, and hopping over these sub-bands in a pseudo-random fashion, but there are different implementations within this general framework that can deliver better performance.In this thesis, we present several existing frequency hopping spread spectrum schemes and we investigate their performance in the presence of frequency selective fading and adaptive partial band jamming. We optimize the control parameters of matched frequency hopping, clipped matched frequency hopping and advanced frequency hopping to enhance their throughput performance. We also propose three new random frequency hopping schemes that generate a hopping pattern with the property of being random over the total bandwidth of the channel but good sub-bands tend to be selected more frequently. These new random frequency hopping schemes provide greater resilience to adaptive jamming and give much higher throughput than the existing schemes.ii First and foremost, I am grateful to Allah (God) for all that I am and all that I have. I am very thankful for the patient guidance and the endless support and encouragement given by my supervisor Dr. Ian Marsland . I am also thankful to

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