Abstract: A code-enhanced, multi-user detection, Reduced Algorithm Receiver in a multiuser communication system reduces the signal processing requirements by limiting the number of searches between consecutive symbol cycles using information from an encoder state diagram. The Receiver makes use of a convolutional encoder's state machine properties to mark possible transitions as invalid based on the current state of the multiple users'encoders, thus removing them from the search tree.

Abstract: A cooperative code-enhanced multiuser communications system having a receiver for resolving user ambiguity in a received composite signal by using convolutional encoder state machine properties to analyze strings of bit sums and separate out individual user data. The receiver comprises a signal sampler which converts a received composite signal to a digital data. A single point cluster mapper determines a closest pseudo-constellation point, and the pseudo-constellation point is formed with the aid of power and timing control in the transmitters. A bit sum look-up table maps symbol points to bit sums. A deterministic loop tests for bit sum cases where symbols can be determined immediately. A guess loop tests the bit sum after the deterministic loop test and performs guesses until all bits are decided. The bit sum is provided to a multiuser convolutional decoder to decide all user data streams.

Abstract: A code-enhanced, multi-user detection, Reduced Algorithm Receiver in a multiuser communication system reduces the signal processing requirements by limiting the number of searches between consecutive symbol cycles using information from an encoder state diagram. The Receiver makes use of a convolutional encoder's state machine properties to mark possible transitions as invalid based on the current state of the multiple users'encoders, thus removing them from the search tree.

Abstract: A cooperative code-enhanced multiuser communications system having a receiver for resolving user ambiguity in a received composite signal by using convolutional encoder state machine properties to analyze strings of bit sums and separate out individual user data. The receiver comprises a signal sampler which converts a received composite signal to a digital data. A single point cluster mapper determines a closest pseudo-constellation point, and the pseudo-constellation point is formed with the aid of power and timing control in the transmitters. A bit sum look-up table maps symbol points to bit sums. A deterministic loop tests for bit sum cases where symbols can be determined immediately. A guess loop tests the bit sum after the deterministic loop test and performs guesses until all bits are decided. The bit sum is provided to a multiuser convolutional decoder to decide all user data streams.