Spread Spectrum Communications, Volume 1 |
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Page 146
... assuming , without loss of generality , that d = −1 . The noise term depends upon many PN chips , viz . , N - 1 2 Tc n ... assumed to dominate . In Section 3.9 we discuss this assumption . ( • ) dt is a zero - mean Gaussian 146 Basic ...
... assuming , without loss of generality , that d = −1 . The noise term depends upon many PN chips , viz . , N - 1 2 Tc n ... assumed to dominate . In Section 3.9 we discuss this assumption . ( • ) dt is a zero - mean Gaussian 146 Basic ...
Page 148
... assumption that the PN sequence { C } is approximated as an independent binary sequence and the application of the ... assumed to be J , although the actual power during a jamming pulse duration is J / p . Also assume that the jammer ...
... assumption that the PN sequence { C } is approximated as an independent binary sequence and the application of the ... assumed to be J , although the actual power during a jamming pulse duration is J / p . Also assume that the jammer ...
Page 215
... assumed that the transmitter and receiver do not know this jammed bandwidth before transmission . Indeed , the jammed subset of total band- width W , may be changed randomly by the jammer to prevent the trans- mitter and receiver from ...
... assumed that the transmitter and receiver do not know this jammed bandwidth before transmission . Indeed , the jammed subset of total band- width W , may be changed randomly by the jammer to prevent the trans- mitter and receiver from ...
Contents
A SpreadSpectrum Overview | 1 |
Pseudonoise Tracking in Direct Sequence Receivers | 2 |
OTHER FREQUENCYHOPPED SYSTEMS | 3 |
Copyright | |
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Common terms and phrases
anti-jam assume b₁ bandwidth binary bit error bound bit error probability BPSK carrier characteristic polynomial Chernoff bound chip coded bit error coded symbol coding channel coefficients communication system convolutional code correlation corresponding cross-correlation cutoff rate cyclic data bit decoder deinterleaver denote detector DS/BPSK energy example filed FILTER finite field frequency function GF(q Hamming distance hard decision Hence IEEE Trans input integer interference interleaver irreducible polynomial jammer jammer state knowledge LFSR linear span m-sequence metric MFSK minimum polynomial modulation multipath multiplication n₁ non-zero orthogonal parameter period PN sequence primitive polynomials properties pseudorandom radar radio receiver recursion result roots shift register shown in Figure soft decision spectrum spread spread-spectrum SS system super channel Sylvania synchronization techniques Theorem Theory tion tone transmission U.S. Patent uncoded values vector waveform white Gaussian noise WHYN zero