Method in a wireless repeater employing an antenna array for interference reduction

• US 8,477,665 B2
• Filed: 07/14/2010
• Issued: 07/02/2013
• Est. Priority Date: 07/14/2010
• Status: Expired due to Fees

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Proctor, James Arthur Jr., Gainey, Kenneth M., Howard, Steven J., Inanoglu, Hakan
• Primary Examiner(s): Phillips, Hassan
• Assistant Examiner(s): EBRAHIM, ANEZ C
• Application Number:
  US12/836,493
• Publication Number:
  US 20120015608A1
• Time in Patent Office: 1,084 Days
• Field of Search: None
• US Class Current: 370/279
• CPC Class Codes: H04B 7/15571 by signal isolation, e.g. isolation by frequency or by antenna pattern, or by polarization

Abstract

A wireless repeater with an antenna array determines the antenna weights to modify the spatial selectivity of the antenna array to reduce interference and improve the quality of signal reception. The antenna weights are determined using an error minimizing algorithm to minimize the error between a desired receive signal and a reference signal or an adaptive metric optimization algorithm to calculate adaptively antenna weights to minimize the signal-to-noise ratio of a desired receive signal.

Claims

1. A method to reduce interference in a repeater for a wireless communication network, the repeater employing an antenna array including M antenna elements, the method comprising:

receiving incoming receive signals on M receiver circuits associated with the M antenna elements;

generating correlation energy measurements indicative of a correlation of the receive signals and one or more reference signals;

selecting a desired receive signal, wherein the desired receive signal is a receive signal with the largest correlation energy measurement, excluding receive signals that are feedback signals of the repeater; and

calculating antenna weights for the M antenna elements using one of an error minimizing algorithm or an adaptive metric optimization algorithm;

applying the calculated antenna weights to the receive signals;

combining the weighted receive signals;

cancelling feedback signals from the combined signals; and

amplifying and transmitting echo cancelled signals as output signals on the antenna array of the repeater.

2. The method of claim 1, wherein generating correlation energy measurements indicative of the correlation of the receive signals and one or more reference signals comprises:

generating correlation energy measurements indicative of the correlation of the receive signals and one or more pilot code phases of a code division multiple access (CDMA)-based communication system.

3. The method of claim 1, wherein generating correlation energy measurements indicative of the correlation of the receive signals and one or more reference signals comprises:

generating correlation energy measurements indicative of the correlation of the receive signals and one or more scrambling codes of a wideband CDMA (WCDMA)-based communication system.

4. The method of claim 1, wherein generating correlation energy measurements indicative of the correlation of the receive signals and one or more reference signals comprises:

generating correlation energy measurements indicative of the correlation of the receive signals and one or more pilot tones of an orthogonal frequency-division multiplexing (OFDM) symbol or an OFDM preamble.

5. The method of claim 1, wherein the receive signals include the feedback signals of the repeater, and wherein selecting a desired receive signal comprises:

selecting a receive signal with a largest correlation energy measurement a given delay prior to a receive signal with an overall largest correlation energy measurement as the desired receive signal, the given delay being an estimated delay through the repeater.

6. The method of claim 1, wherein calculating antenna weights for the M antenna elements using one of the error minimizing algorithm or the adaptive metric optimization algorithm comprises:

calculating antenna weights in closed form using an error minimizing algorithm to reduce an error between the desired receive signal and the reference signal.

7. The method of claim 6, wherein calculating antenna weights in closed form using the error minimizing algorithm comprises:

calculating antenna weights in closed form using a minimum mean square error (MMSE) algorithm to reduce a mean square error between the desired receive signal and the reference signal.

8. The method of claim 1, wherein calculating antenna weights for the M antenna elements using one of the error minimizing algorithm or the adaptive metric optimization algorithm comprises:

calculating antenna weights adaptively for the M antenna elements to maximize a signal-to-noise ratio (SNR) of the desired receive signal.

9. The method of claim 8, wherein calculating antenna weights adaptively for the M antenna elements to maximize the SNR of the desired receive signal comprises:

calculating antenna weights recursively using a metric and an adaptive metric optimization algorithm to optimize the metric, the metric being indicative of the SNR of the desired receive signal.

10. The method of claim 9, wherein calculating antenna weights recursively using the metric and the adaptive metric optimization algorithm comprises:

calculating a metric being a ratio of the correlated power measurement of the desired receive signal to a sum of the correlated power measurements of some or all of the other receive signals.

11. The method of claim 10, wherein calculating the metric being the ratio of the correlated power measurement of the desired receive signal to the sum of the correlated power measurements of some or all of the other receive signals comprises:

calculating a metric being a ratio of the correlated power measurement of the desired receive signal to a sum of the correlated power measurements of dominant non-desired receive signals, the dominant non-desired receive signals being receive signals other than the desired receive signal having a correlated power level above a predetermined threshold.

12. The method of claim 9, wherein calculating antenna weights recursively using the metric and the adaptive metric optimization algorithm comprises:

applying a steepest descent adaptive algorithm to modify the antenna weights of the M antenna elements to optimize the metric.

13. A repeater for a wireless communication network, the repeater employing an antenna array including M antenna elements, the repeater comprising:

M receiver circuits coupled to receive incoming receive signals associated with the M antenna elements;

an antenna weight computation module configured to generate correlation energy measurements indicative of a correlation of the receive signals and one or more reference signals, select a desired receive signal, wherein the desired receive signal is a receive signal with the largest correlation energy measurement, excluding receive signals that are feedback signals of the repeater, and calculate antenna weights for the M antenna elements using one of an error minimizing algorithm or an adaptive metric optimization algorithm; and

an antenna weight application module configured to apply the calculated antenna weight to condition the receive signals,

wherein the antenna weight application module is further configured to combine the weighted receive signals, cancel feedback signals from the combined weighted receive signals, and amplify and transmit the echo cancelled signals as output signals on the antenna array of the repeater.

14. The repeater of claim 13, wherein the one or more reference signals comprise one or more pilot code phases of a code division multiple access (CDMA)-based communication system.

15. The repeater of claim 13, wherein the one or more reference signals comprise one or more scrambling codes of a wideband CDMA (WCDMA)-based communication system.

16. The repeater of claim 13, wherein the one or more reference signals comprise one or more pilot tones of an orthogonal frequency-division multiplexing (OFDM) symbol or an OFDM preamble.

17. The repeater of claim 13, wherein the receive signals include feedback signals of the repeater and wherein the antenna weight computation module is configured to select a receive signal with a largest correlation energy measurement a given delay prior to a receive signal with an overall largest correlated power level as the desired receive signal, wherein the given delay is an estimated delay through the repeater.

18. The repeater of claim 13, wherein the antenna weight computation module is configured to calculate antenna weights in closed form using an error minimizing algorithm to reduce an error between the desired receive signal and the reference signal.

19. The repeater of claim 13, wherein the antenna weight computation module is configured to calculate antenna weights in closed form using a minimum mean square error (MMSE) algorithm to minimize a mean square error between the desired receive signal and the reference signal.

20. The repeater of claim 13, wherein the antenna weight computation module is configured to calculate antenna weights adaptively for the M antenna elements to maximize a signal-to-noise ratio (SNR) of the desired receive signal.

21. The repeater of claim 20, wherein the antenna weight computation module is configured to calculate antenna weights recursively using a metric and an adaptive metric optimization algorithm to optimize the metric, the metric being indicative of an SNR of the desired receive signal.

22. The repeater of claim 21, wherein the adaptive metric optimization algorithm comprises a steepest descent adaptive algorithm applied to modify the antenna weights of the M antenna elements to optimize the metric.

23. The repeater of claim 21, wherein the metric comprises a ratio of the correlated power measurement of the desired receive signal to a sum of the correlated power measurements of some or all of the other receive signals.

24. The repeater of claim 23, wherein the metric comprises a ratio of the correlated power measurement of the desired receive signal to the sum of the correlated power measurements of dominant non-desired receive signals, the dominant non-desired signals being the receive signals other than the desired receive signal having a correlated power level above a predetermined threshold.

25. The repeater of claim 13, further comprising an echo canceller configured to cancel feedback signals from the receive signals.

26. The repeater of claim 25, wherein the antenna weight application module is further configured to combine the weighted receive signals and amplify and transmit the combined weighted receive signals as output signals on the antenna array of the repeater.

27. A non-transitory computer readable medium having stored thereon computer executable instructions for performing at least the following acts:

receiving input signals indicative of incoming receive signals received on M antenna elements of an antenna array of a repeater;

generating correlation energy measurements indicative of a correlation of the receive signals and one or more reference signals;

selecting a desired receive signal, wherein the desired receive signal is a receive signal with the largest correlation energy measurement, excluding receive signals that are feedback signals of the repeater;

calculating antenna weights for the M antenna elements using one of an error minimizing algorithm or an adaptive metric optimization algorithm;

applying the calculated antenna weights to the receive signals;

combining the weighted receive signals;

cancelling feedback signals from the combined signals; and

amplifying and transmitting echo cancelled signals as output signals on the antenna array of the repeater.

28. A repeater for a wireless communication network, the repeater employing an antenna array including M antenna elements, the repeater comprising:

means for receiving incoming receive signals associated with the M antenna elements;

means for generating correlation energy measurements indicative of a correlation of the receive signals and one or more reference signals;

means for selecting a desired receive signal, wherein the desired receive signal is a receive signal with the largest correlation energy measurement, excluding receive signals that are feedback signals of the repeater, and

means for calculating antenna weights for the M antenna elements using one of an error minimizing algorithm or an adaptive metric optimization algorithm; and

means for applying the calculated antenna weight to condition the receive signals,

means for combining the weighted receive signals;

means for cancelling feedback signals from the combined signals; and

means for amplifying and transmitting echo cancelled signals as output signals on the antenna array of the repeater.