1992
DOI: 10.1109/49.136066
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Error probabilities of fast frequency-hopped FSK with self-normalization combining in a fading channel with partial-band interference

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Cited by 53 publications
(16 citation statements)
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“…According to (10), given , , and G, R( EGC ) is conditional Gaussian distributed. Hence, the EGC ( , G) of (9) is calculated to be…”
Section: Ber For An Arbitrarymentioning
confidence: 99%
See 1 more Smart Citation
“…According to (10), given , , and G, R( EGC ) is conditional Gaussian distributed. Hence, the EGC ( , G) of (9) is calculated to be…”
Section: Ber For An Arbitrarymentioning
confidence: 99%
“…In the presence of jamming, various diversity combining schemes have been proposed for noncoherent frequency shift keying (FSK) based FFH, including maximum likelihood (ML) combining [1][2][3][4][5][6][7], FFT based combining schemes [8], linear combining (LC) [9], self-normalization combining [10], noise-normalization combining [11], product combining [12][13][14][15][16][17], and clipped combining [18,19]. Among the noncoherent FFH/FSK combining schemes, ML combining yields the best BER performance in the presence of jamming.…”
Section: Introductionmentioning
confidence: 99%
“…It has been shown that the use of the selfnormalized receiver shown in Figure 1 can improve the worst case performances of a frequency-hopped BFSK signal under partial band jamming interference over a Rician channel [2]. In an analogous way, we seek to improve the performance of a DPSK system employing time diversity under pulse noise interference over a Rician channel.…”
Section: Self-normalized Receivermentioning
confidence: 97%
“…The total conditional variance for branch 1 of our receiver is 0 = (40,+ o j ) and for branch 2, (r2, = oj forj = 1,2,3. The new density function for VI conditioned on the three jammer events, fv,(vl 10, Ij) may be expressed from equation 2 …”
Section: Pulse Noise Interference Modelmentioning
confidence: 99%
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