Analysis of non-coherent correlation in DS/BPSK spread spectrum acquisition

Non-coherent detectors for initial code synchronization (acquisition) of BPSK direct sequence spread spectrum signals on an AWGN channel are analyzed. In addition to the thermal noise, in many applications such detectors are faced with the "self-noise", due to the partial period correlations. Under the random code sequences assumption, in this paper an exact analysis of the non-coherent correlator's detection performance is carried out by using the theory of circularly symmetric random variables. The exact analysis shows that the familiar Gaussian approximation to the distribution function of the code self-noise is justified for all cases of practical interest. Furthermore, the overall detection performance was found to be determined asymptotically by the sum of the thermal and correlator's self-noise. In most cases of practical interest, this asymptotic result provides a very good approximation to the actual detection performance of a non-coherent correlator, improving the approximations devised previously. >

[1]  D. Campana,et al.  Spread-spectrum communications , 1993, IEEE Potentials.

[2]  R.H. Dyck,et al.  Charge-coupled device pseudo-noise matched filter design , 1979, Proceedings of the IEEE.

[3]  George L. Turin,et al.  An introduction to digital matched filters , 1976 .

[4]  S. Rappaport,et al.  Spread-spectrum signal acquisition: Methods and technology , 1984, IEEE Communications Magazine.

[5]  Michael B. Pursley,et al.  Error Probabilities for Binary Direct-Sequence Spread-Spectrum Communications with Random Signature Sequences , 1987, IEEE Trans. Commun..

[6]  D. George,et al.  The Use of the Fourier-Bessel Series in Calculating Error Probabilities for Digital Communication Systems , 1981, IEEE Trans. Commun..

[7]  Laurence B. Milstein,et al.  A New Rapid Acquisition Technique for Direct Sequence Spread-Spectrum Communications , 1984, IEEE Trans. Commun..

[8]  H. N. Sagon An integral relevant to the detection of a signal in polarized Gaussian noise (Corresp.) , 1970, IEEE Trans. Inf. Theory.

[9]  Laurence B. Milstein,et al.  Spread-Spectrum Communications , 1983 .

[10]  D. F. Hays,et al.  Table of Integrals, Series, and Products , 1966 .

[11]  Vladan M. Jovanovic Analysis of strategies for serial-search spread-spectrum code acquisition-direct approach , 1988, IEEE Trans. Commun..

[12]  Elvino S. Sousa,et al.  Interference modeling in a direct-sequence spread-spectrum packet radio network , 1990, IEEE Trans. Commun..

[13]  M. Elbaum,et al.  First-order statistics of a non-Rayleigh fading signal and its detection , 1978, Proceedings of the IEEE.

[14]  Andreas Polydoros,et al.  A Unified Approach to Serial Search Spread-Spectrum Code Acquisition - Part II: A Matched-Filter Receiver , 1984, IEEE Transactions on Communications.

[15]  W. Bennett Distribution of the sum of randomly phased components , 1948 .

[16]  Andreas Polydoros,et al.  A Unified Approach to Serial Search Spread-Spectrum Code Acquisition - Part I: General Theory , 1984, IEEE Transactions on Communications.

[17]  G.L. Turin,et al.  An introduction to digitial matched filters , 1976, Proceedings of the IEEE.

[18]  Raffaele Esposito,et al.  Statistical properties of two sine waves in Gaussian noise , 1973, IEEE Trans. Inf. Theory.

[19]  F. Hemmati,et al.  Upper Bounds on the Partial Correlation of PN Sequences , 1983, IEEE Trans. Commun..

[20]  Joel Goldman Statistical properties of a sum of sinusoids and Gaussian noise and its generalization to higher dimensions , 1974 .

[21]  Charles L. Weber,et al.  Acquisition of Direct Sequence Signals with Modulation and Jamming , 1986, IEEE J. Sel. Areas Commun..

[22]  V. Javanovic,et al.  On the distribution function of the spread-spectrum code acquisition time , 1992 .