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Author: P. J. Crepeau Publisher: ISBN: Category : Languages : en Pages : 32
Book Description
Convolutional coding offers substantial improvement in the bit error probability performance of MFSK/FH modulation when applied to Rayleigh fading or partial band Gaussian interference channels. Using a 4-ary modulation with rate-1/2 codes as a special example, several convolutional coding options are considered, including binary, dual-2, and triple-2 codes. Union-Chernoff upper bounds reveal that improvements of up to 35 dB in (in Eb/N sub o reduction) are achievable at a .00001 bit error probability in comparison to an uncoded system. (Author).
Author: P. J. Crepeau Publisher: ISBN: Category : Languages : en Pages : 32
Book Description
Convolutional coding offers substantial improvement in the bit error probability performance of MFSK/FH modulation when applied to Rayleigh fading or partial band Gaussian interference channels. Using a 4-ary modulation with rate-1/2 codes as a special example, several convolutional coding options are considered, including binary, dual-2, and triple-2 codes. Union-Chernoff upper bounds reveal that improvements of up to 35 dB in (in Eb/N sub o reduction) are achievable at a .00001 bit error probability in comparison to an uncoded system. (Author).
Author: P. J. Crepeau Publisher: ISBN: Category : Languages : en Pages : 31
Book Description
Several block and convolutional coding options are considered which are applicable to the noncoherent detection of FH/MFSK (Frequency Hopped/Multiple Frequency Shift Keying) signals in the presence of tone jamming. The tone jamming model used in this report is the worst-case tone jamming for an uncoded system. Using decoded probability of bit error as a performance criterion, we show that large signaling alphabets yield poor performance in a tone jamming environment. Furthermore, when hard-decision quantization is used, the degradation of a coded system in tone jamming over worst-case partial band noise jamming is the same as the corresponding degradation for the uncoded system: 4.3 dB for M=2, 6.3 dB for M=4, 8.3 dB for M=8, and increasing thereafter without bound as M approaches infinity. The poor performance of coded systems with hard-decisions in tone jamming can be improved by about 10 dB by using soft-decision quantization assisted by perfect jammer state side-information. For the binary case the results obtained by using soft-decision quantization are about 1 dB better than those obtained for the partial band noise channel, showing that the worst-case channel for the uncoded system is not necessarily the worst-case channel for a coded system when side-information is available. The use of small alphabets and soft-decision quantization is recommended for coded FH/MFSK systems in a tone jamming environment. A major issue to be addressed in future studies concerns the type of soft-decision decoding to be used. An approach is needed that is realizable and will give performance close to that of pure soft-decisions with side-information while being free of the problems associated with obtaining perfect side information.
Author: Publisher: ISBN: Category : Languages : en Pages : 80
Book Description
An error probability analysis of a communications link employing convolutional coding with soft decision viterbi decoding implemented on a fast frequency hopped, binary frequency shift keying (FFH(BFSK) spread spectrum system is performed. The signal is transmitted through a Rician fading channel with partial band noise interference. The receiver structures examined are the conventional receiver with no diversity, the conventional receiver with diversity and the assumption of perfect side information, and the self normalized combining receiver with diversity. The self normalized receiver minimizes the effects of hostile partial band interference, while diversity alleviates the effects of fading. It is found that with the implementation of soft decision viterbi decoding the performance of the self normalized receiver is improved dramatically for moderate coded bit energy to partialband noise power spectral density ratio (EbNI). Coding drives the jammer to a full band jamming strategy for worst case performance. Nearly worst case jamming occurs when barrage jamming is employed and there is no diversity even in cases where there is very strong direct signal. Performance improves as the constraint length of the convolutional code is increased. For the most powerful convolutional codes, performance is seen to degrade slightly with increasing diversity except in instances of a very weak direct signal. Also, soft decision decoding is found to be superior to hard decision decoding by approximately 4 dB at moderate Eb/NI.
Author: Xenofon Nikolakopoulos Publisher: ISBN: Category : Languages : en Pages : 71
Book Description
The application of forward error correction coding to a fast frequency-hopped binary frequency-shift keying (FFH/BFSK) noncoherent receiver with self-normalization combining under broadband and partial-band jamming is discussed in this thesis. The performance of the receiver is examined when data are encoded using Reed-Solomon codes, convolutional codes, and concatenated Reed-Solomon and convolutional codes, all with hard decision decoding. The effects of the transmission channel is considered, and results are derived for a Rayleigh fading channel and Ricean fading channels with several different ratios of direct-to-diffuse signal power. Only frequency nonselective, slowly fading channels are considered. The combination of diversity and forward error correction coding is found to improve the performance of the receiver in the presence of both broadband and partial-band jamming and optimum codes for each coding scheme are also discussed.
Author: Jhong S. Lee Publisher: ISBN: Category : Languages : en Pages : 191
Book Description
Error probability analyses are performed for a coded M-ary frequency-shift-keying (MFSK) system employing L hops per M-ary word frequency-hopping (FH) spread spectrum waveforms transmitted over a partial-band Gaussian noise jamming channel. The information bit error probabilities are obtained for a square-law linear combining demodulator and for a square-law adaptive gain control (AGC) demodulator, both with forward error control (FEC) coding under conditions of worst-case partial-band noise jamming, using exact analyses of the demodulator performance which include both thermal noise and jamming noise. Parametric performance curves are obtained for both block codes and convolutional codes with both binary and M-ary channel modulations. The results show that thermal noise can not be neglected in the analyses if correct determinations of the optimum order of diversity and the worst-case jamming fraction are to be obtained over the whole range of signal-to-thermal noise and signal-to-jamming ratios. It is shown that the combination of non-linear combining, M-ary modulation, and forward error control coding is an effective strategy against worst-case partial-band noise jamming. However, just as was found to be the case for uncoded systems, the linear combiner is ineffective in worst-case partial-band noise jamming. (Author).
Author: P. J. Crepeau
Author: P. J. Crepeau
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Author: P. J. Crepeau
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Author: Joseph Hyukjoon Kang
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Author: Aeronautical Research Council (Great Britain)
Author: Xenofon Nikolakopoulos
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Author: Jhong S. Lee