A MAI cancellation algorithm with near ML performance

Spread spectrum communication has been widely used in many communication system because of its anti-interfere and anti-interception properties. The existing multi access interference (MAI) restraint technology which could be classified as associated determination and interfere cancellation cannot achieve the unification of low arithmetic complexity and high determination performance. For instance, the usual linear associated determination method has low arithmetic complexity but poor performance, while the maximum likelihood (ML) method has the best performance but no feasibility. In this article, the causation and the influence to the system performance of MAI are analyzed systematically based on the theory of spectrum communication, and the representative methods are described and summarized. Based on normal interfere cancellation algorithm, a new dimensional reduced associated determination algorithm with near ML performance is presented and proved to be with low complexity and near the highest theoretical performance by theoretical calculation, complexity analysis and simulation validation. This algorithm significantly improves the application value and feasibility of associated determination technology and has significant importance in solving the possible MAI problem in the spread spectrum communication systems in the future.