METHODS FOR ESTIMATION AND INTERFERENCE SUPPRESSION FOR SIGNAL PROCESSING

• US 20150016297A1
• Filed: 09/30/2014
• Published: 01/15/2015
• Est. Priority Date: 09/23/2002
• Status: Active Grant

• Current Assignee: III Holdings 1, LLC
• Original Assignee: III Holdings 1, LLC
• Inventors: Lamba, Gagandeep Singh, Guess, Tommy, McCloud, Michael, Narayan, Anand P.
• Granted Patent: US 9,602,158 B2
• Time in Patent Office: Days
• US Class Current: 370/252
• CPC Class Codes: H04B 1/7097 Interference-related aspects
• CPC Class Codes: H04B 1/7107 Subtractive interference cancellation
• CPC Class Codes: H04B 1/71072 Successive interference cancellation
• CPC Class Codes: H04B 1/71075 Parallel interference cancellation
• CPC Class Codes: H04B 1/7115 Constructive combining of multi-path signals, i.e. RAKE receivers
• CPC Class Codes: H04B 1/7117 Selection, re-selection, allocation or re-allocation of paths to fingers, e.g. timing offset control of allocated fingers
• CPC Class Codes: H04B 15/00 Suppression or limitation of noise or interference by means associated with receiver H04B1/10
• CPC Class Codes: H04B 2001/71077 Partial interference cancellation
• CPC Class Codes: H04B 2201/709718 Determine interference
• CPC Class Codes: H04J 13/00 Code division multiplex systems for frequency hopping H04B1/713
• CPC Class Codes: H04J 13/0048 Walsh
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic

Abstract

A receiver in a CDMA system comprises a front end processor that generates a combined signal per source. A symbol estimator processes the combined signal to produce symbol estimates. An S-Matrix Generation module refines these symbol estimates based on the sub channel symbol estimates. An interference canceller is configured for cancelling interference from at least one of the plurality of received signals for producing at least one interference-cancelled signal.

Claims

1. (canceled)

2. A system for determining user power and background noise power in multiple-access communication, the system comprising:

a front-end processor configured to track one or more active base stations, estimate powers for one or more base station pilots, and estimate one or more multipath channels from the one or more base stations to one or more mobile stations; and

an estimation module configured to relate unknown user and noise powers to estimates of powers for the one or more base station pilots based on an average correlation matrix for the one or more multipath channels.

3. The system of claim 2, wherein the front-end processor is further configured to receive signals from a plurality of receive antennas.

4. The system of claim 2, wherein the front-end processor is further configured to operate with surrogate user sequences in networks that use multilevel codes.

5. The system of claim 2, wherein the estimation module is further configured to estimate elements of the average correlation matrix based on an empirical average over multiple symbol intervals.

6. The system of claim 2, wherein:

the front-end processor is further configured to provide the estimates of the one or more base station pilot powers to the estimation module; and

the estimation module is further configured to use the estimates of the one or more base station pilot powers as the final estimates of one or more subchannels.

7. The system of claim 2, wherein the estimation module is further configured to calculate elements of the average correlation matrix based on the estimates of the one or more base station pilot powers and a system of constraints.

8. A method for power estimation comprising:

tracking one or more active base stations;

estimating power for one or more base station pilots;

estimating one or more multipath channels from the one or more base stations to one or more mobile station; and

relating unknown user and noise powers to estimates of power for the one or more base station pilots based on an average correlation matrix for the one or more multipath channels.

9. The method of claim 8, wherein said tracking comprises receiving signals from a plurality of receive antennas.

10. The method of claim 8, further comprising operating with surrogate user sequences in networks that use multilevel codes.

11. The method of claim 8, further comprising estimating elements of the average correlation matrix based on an empirical average over multiple symbol intervals.

12. The method of claim 8, further comprising using the estimates for the one or more base station pilot powers as the final estimates of corresponding subchannels.

13. The method of claim 8, further comprising calculating elements of the average correlation matrix based on the estimates for the one or more base station pilot powers and a system of constraints.

14. The method of claim 8, further comprising providing the estimates to a multi user receiver.

15. A non-transitory computer-readable storage medium comprising a computer program that, in response to being executed, results in a receiver:

tracking one or more active base stations;

estimating power for one or more base station pilots;

estimating one or more multipath channels from the one or more base stations to one or more mobile station; and

relating unknown user and noise powers to estimates of power for the one or more base station pilots based on an average correlation matrix for the one or more multipath channels.

16. The non-transitory computer-readable storage medium of claim 15, wherein execution of the computer program further results in the receiver processing signals received from a plurality of receive antennas.

17. The non-transitory computer-readable storage medium of claim 15, wherein execution of the computer program further results in the receiver operating with surrogate user sequences in networks that use multilevel codes.

18. The non-transitory computer-readable storage medium of claim 15, wherein execution of the computer program further results in the receiver estimating elements of the average correlation matrix based on an empirical average over multiple symbol intervals.

19. The non-transitory computer-readable storage medium of claim 15, wherein execution of the computer program further results in the receiver using the estimates of one or more base station pilot powers as the final estimates of corresponding subchannels.

20. The non-transitory computer-readable storage medium of claim 15, wherein execution of the computer program further results in the receiver calculating elements of the average correlation matrix based on the estimates for the one or more base station pilot powers and a system of constraints.