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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 samp

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.

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What is claimed is: 1. A receiver of a code-enhanced multiuser communications system comprising: a signal sampler for converting a received composite waveform signal to a digitized composite signal; a signal point to cluster mapper, coupled to said digitized composite signal, for calculating a clos

What is claimed is: 1. A receiver of a code-enhanced multiuser communications system comprising: a signal sampler for converting a received composite waveform signal to a digitized composite signal; a signal point to cluster mapper, coupled to said digitized composite signal, for calculating a closest pseudo-constellation point of said digitized composite signal and mapping said point to a specific phase and amplitude on a constellation diagram; a bit sum look-up table for receiving said closest pseudo-constellation point and generating a composite symbol bit sum; a multiuser convolutional decoder for decoding said composite symbol bit sum to generate individual user data streams; wherein said multiuser convolutional decoder comprises a deterministic loop for testing said bit sum, received from said bit sum lookup table, by state machine means for determining bits of said bit sum that are not ambiguous; and said multiuser convolution decoder comprises a guess loop for testing said bit sum after said deterministic loop test and performing guesses until all bits have been decided for each user. 2. The receiver as recited in claim 1 wherein said received composite waveform signal comprises encoded signals, each of said encoded signals being generated by a convolutional encoder using a different generator polynomial in each of said convolutional encoder. 3. The receiver as recited in claim 1 wherein said signal point to cluster mapper comprises: means for calculating a received signal point in response to receiving said digitized composite signal; a multiuser pseudo-constellation calculator having prestored known user data for determining a multiuser pseudo-constellation to compare to said signal point; and a constellation mapper, coupled to said signal point calculating means for mapping said signal point to said multiuser constellation clusters and selecting said closest pseudo-constellation point. 4. The receiver as recited in claim 3 wherein said received signal point calculating means comprises a QAM demodulator. 5. The receiver as recited in claim 3 wherein said bit sum look-up table is determined, by said pseudo-constellation calculator prior to processing, for a known number of users in accordance with said prestored known user data. 6. The receiver as recited in claim 1 wherein said receiver comprises means for determining said bit sum look-up table prior to processing of said received composite waveform signal in accordance with received known user data for each of said users in said system. 7. The receiver as recited in claim 1 wherein said composite symbol bit sum is determined by means for summing the bits of individual user symbols. 8. The receiver as recited in claim 1 wherein said received composite waveform comprises signals of multiusers operating in a same frequency band of a frequency spectrum. 9. A code-enhanced multiuser communication system comprising: means for transmitting at least two user channel interfering signals within a predetermined frequency band of a frequency spectrum; a receiver having means for receiving a composite waveform signal from said transmitting means; said receiver further comprises means for converting said received composite waveform signal to composite digital data; means, coupled to said converting means, for calculating a closest pseudo-constellation point of said digitized composite waveform signal and mapping said point to a specific phase and amplitude on a constellation diagram; a bit sum look-up table for receiving said closest pseudo-constellation point and generating a composite symbol bit sum; a multiuser convolutional decoder for decoding said composite symbol bit sum to generate individual user data streams; wherein said multiuser convolutional decoder comprises a deterministic loop for testing said bit sum received from said bit sum lookup table by state machine means for determining bits of said bit sum that are not ambiguous; and said multiuser convolutional decoder further comprises a guess loop for testing said bit sum after said deterministic loop test and performing guesses until all bits have been decided for each user. 10. The code-enhanced multiuser communication system as recited in claim 9 wherein said transmitting means for each user comprises a convolutional encoder having a different generator polynomial for each of said transmitting means. 11. The code-enhanced multiuser communication system as recited in claim 9 wherein said pseudo-constellation point calculating means comprises: means for calculating a received signal point in response to receiving said digitized composite signal; a multiuser pseudo-constellation calculator having prestored known user data for determining a multiuser pseudo-constellation to compare to said signal point; and a constellation mapper, coupled to said signal point calculating means for mapping said signal point to said multiuser constellation clusters and selecting said closest pseudo-constellation point. 12. The code-enhanced multiuser communication system as recited in claim 11 wherein said bit sum look-up table is determined by said pseudo-constellation calculator prior to processing for a known number of users in accordance with said prestored known user data. 13. The code-enhanced multiuser communication system as recited in claim 9 wherein: said receiver comprises means for determining said bit sum look-up table prior to processing of said received composite waveform signal in accordance with received known user data for each of said users in said system. 14. The code-enhanced multiuser communication system as recited in claim 9 wherein said receiver comprises means for providing power and timing control to form said pseudo-constellation of bit-sums. 15. The code-enhanced multiuser communication system as recited in claim 9 wherein said received composite waveform comprises signals of multiusers operating in a same frequency band of a frequency spectrum. 16. A method for providing a code-enhanced multiuser communication system comprising the steps of: transmitting at least two user channel interfering signals within a predetermined frequency band of a frequency spectrum with means including a convolutional encoder means having a different generator polynomial for each user; receiving a composite waveform signal from said transmitting means with a multiuser detector receiver; converting in said receiver said received composite waveform signal to composite digitized data in a signal sampler; calculating in said receiver a closest pseudo-constellation point of said composite digitized from said signal sampler and mapping said point to a specific phase and amplitude on a constellation diagram; generating in said receiver a composite symbol bit sum of said closest pseudo-constellation point in a bit sum look-up table; decoding said composite symbol bit sum to generate individual user data streams using a multiuser convolutional decoder; wherein said step of decoding said composite symbol bit sum comprises the steps of testing in a deterministic loop said composite symbol bit sum received from said bit sum look-up table by means of a state machine for determining bits of said bit sum that are not ambiguous; and testing in a guess loop said bit sum after said deterministic loop testing and performing guesses until all bits have been decided for each user. 17. The method as recited in claim 16 wherein said step of calculating in said receiver a closest pseudo-constellation point of said composite digital data comprises the steps of: calculating in a QAM demodulator a received signal point in response to receiving said composite digitized data; calculating in a multiuser pseudo-constellation calculator, having prestored known user data, a multiuser pseudo-constellation to compare to said signal point; and mapping said signal point to clusters of said multiuser constellation in a constellation mapper means and selecting said closest pseudo-constellation point. 18. The method as recited in claim 17 wherein said method further comprises the step of determining said bit sum look-up table in said multiuser pseudo-constellation calculator, prior to processing, for a known number of users in accordance with said prestored known user data. 19. The method as recited in claim 16 wherein said method comprises the step of providing power and timing control in said transmitting means to enable formation of said pseudo-constellation of bit sums. 20. The method as recited in claim 16 wherein said method provides for said received composite waveform having signals of multiusers to operate in a same frequency band of a frequency spectrum.