The feasibility of combating multipath interference by chirp spread spectrum techniques over Rayleigh and Rician fading channels

This paper studies the feasibility of using chirp spread spectrum signals to combat multipath interference in binary digital communication systems over Rayleigh and Rician fading channels. The chirp system can be implemented using surface acoustic wave devices and can be made compact in size. Under also the influence of additive white Gaussian noise, the bit error probability has been successfully derived. Through numerical examples it is witnessed that chirp system can be used to greatly reduce the effect of multipath interference. The arrangement is quite attractive in deploying, for example, indoor wireless communications.<<ETX>>

[1]  Bruno O. Shubert,et al.  Random variables and stochastic processes , 1979 .

[2]  J. Kim,et al.  Coded multiple chirp spread spectrum system and overlay service , 1988 .

[3]  C. Campbell.  Surface Acoustic Wave Devices and Their Signal Processing Applications , 1989 .

[4]  Kaveh Pahlavan,et al.  Performance of adaptive matched filter receivers over fading multipath channels , 1990, IEEE Trans. Commun..

[5]  Charles E. Cook,et al.  Linear FM Signal Formats for Beacon and Communication Systems , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Ahmed K. Elhakeem,et al.  Performance of hybrid chirp/DS signals under Doppler and pulsed jamming , 1989, IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond.

[7]  M. Kavehrad,et al.  Performance of low-complexity channel coding and diversity for spread spectrum in indoor, wireless communication , 1985, AT&T Technical Journal.

[8]  Alain Glavieux,et al.  Error probability of fast frequency hopping spread spectrum with BFSK modulation in selective Rayleigh and selective Rician fading channels , 1990, IEEE Trans. Commun..

[9]  George L. Turin.  The effects of multipath and fading on the performance of direct-sequence CDMA systems , 1984, IEEE Transactions on Vehicular Technology.

[10]  Charles E. Cook,et al.  Pulse Compression-Key to More Efficient Radar Transmission , 1960, Proceedings of the IRE.

[11]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[12]  M. Kavehrad.  Performance of nondiversity receivers for spread spectrum in indoor wireless communications , 1985, AT&T Technical Journal.

[13]  M.A. Jack,et al.  The theory, design, and applications of surface acoustic wave Fourier-transform processors , 1980, Proceedings of the IEEE.

[14]  Kaveh Pahlavan,et al.  Channel modeling and adaptive equalization of indoor radio channels , 1989, IEEE J. Sel. Areas Commun..

[15]  G.L. Turin,et al.  Introduction to spread-spectrum antimultipath techniques and their application to urban digital radio , 1980, Proceedings of the IEEE.

[16]  J. Burnsweig,et al.  Ranging and Data Transmission Using Digital Encoded FM-"Chirp" Surface Acoustic Wave Filters , 1973, IEEE Transactions on Sonics and Ultrasonics.

[17]  T.T. Ha,et al.  Coded multiple chirp spread spectrum system and overlay service , 1988, [1988] Proceedings. The Twentieth Southeastern Symposium on System Theory.

[18]  S. Sussman.  A matched filter communication system for multipath channels , 1960, IRE Trans. Inf. Theory.

[19]  G. F. Gott,et al.  H.F. data transmission using chirp signals , 1971 .