Performance evaluation of decision feedback adaptive arrays based on interarray correlation-neglecting algorithm

This paper presents the performance of a decision feedback adaptive array based on the interarray correlation-neglecting (ICN) algorithm that is suitable for high-speed mobile-communication systems. Although the ICN algorithm is regarded as a means of complexity reduction from the recursive least-square (RLS) algorithm, we present that the ICN algorithm has a superior initial acquisition performance close to the RLS algorithm, theoretically. The requirements for stable convergence are analytically revealed. Moreover, the performance is confirmed by Monte Carlo simulation. Besides, since the decision feedback adaptive array based on the ICN algorithm can be easily implemented with parallel processing, this array can reduce run-time cycles needed for one symbol. Therefore, this array can be applied to high-speed radio communication systems. In addition to this, the low operational complexity of this array makes it easy to apply this for high-speed mobile-communication systems where low complexity is basically required.