Title :
Performance bounds for DS/SSMA communications with complex signature sequences
Author :
Lam, Alex W. ; Özlütürk, Faith M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
fDate :
10/1/1992 12:00:00 AM
Abstract :
A unified performance analysis of direct-sequence spread-spectrum multiple-access (DS/SSMA) communications with deterministic complex signature sequences is presented. The probability density function (PDF) of the multiple-user interference is determined. Using a round-down and round-up procedure on the PDF, arbitrarily tight lower and upper bounds on the probability of bit error (PBE) are obtained. Results based on the Gaussian approximation method are also presented. It is shown that complex sequences can yield better PBE performance than binary sequences. Using complex sequences, the number of signature sequences that have good auto- and cross-correlation properties is greatly enlarged. New users employing complex or binary signature sequences can be added to existing systems with graceful performance degradation
Keywords :
correlation methods; error statistics; interference (signal); multi-access systems; spread spectrum communication; DS/SSMA communications; Gaussian approximation method; PDF; auto-correlation properties; bit error probability; complex signature sequences; cross-correlation properties; direct-sequence spread-spectrum multiple-access; lower bounds; multiple-user interference; performance analysis; probability density function; upper bounds; Binary sequences; Degradation; Gaussian approximation; Military computing; Performance analysis; Phase modulation; Probability density function; Spread spectrum communication; System performance; Upper bound;
Journal_Title :
Communications, IEEE Transactions on