A convolutionally-coded adaptive CDMA receiver architecture

Several CDMA receiver architectures have been proposed. One of these new receivers consists of an LMS architecture and can adapt to varying channel characteristics. Previously, we proposed the use of coding techniques to improve the performance of the CDMA receiver. In this paper, we analyze the resources required to implement both the matched and LMS filter structures. We calculate the overhead necessary to achieve the improved performance using the LMS structures. Next we analyze the overhead necessary to add coding to the receiver structure. We demonstrate that with minimal resource overhead, the convolutionally-coded system has significantly improved signal to noise ratio over conventional CDMA receiver.