Systems and methods for intelligently-tuned digital self-interference cancellation

• US 10,103,774 B1
• Filed: 03/27/2018
• Issued: 10/16/2018
• Est. Priority Date: 03/27/2017
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Kumu Networks, Inc.
• Inventors: Moorti, Rajendra Tushar, Viswanatha, Kumar
• Primary Examiner(s): Neff, Michael
• Application Number:
  US15/937,605
• Publication Number:
  US 20180278290A1
• Time in Patent Office: 203 Days
• Field of Search: 375219
• CPC Class Codes: H04B 1/12 Neutralising, balancing, or compensation arrangements
• CPC Class Codes: H04B 1/123 using adaptive balancing or compensation means adaptive filter circuits and algorithms H03H
• CPC Class Codes: H04B 1/525 with means for reducing leakage of transmitter signal into the receiver
• CPC Class Codes: H04B 1/56 with provision for simultaneous communication in two directions
• CPC Class Codes: H04L 25/0202 Channel estimation
• CPC Class Codes: H04L 27/2647 Arrangements specific to the receiver only equalisation H04L27/01
• CPC Class Codes: H04L 5/14 Two-way operation using the same type of signal, i.e. duplex

Abstract

A system for digital self-interference cancellation includes a filter that generates a reduced-noise digital residue signal; a channel estimator that generates a current self-interference channel estimate from a digital transmit signal, the reduced-noise digital residue signal, and past self-interference channel estimates; a controller that dynamically sets the digital transform configuration in response to changes in a controller-sampled digital residue signal; and a channel memory that stores the past self-interference channel estimates.

Claims

1. A system for digital self-interference cancellation comprising:

a filter coupled to a digital residue signal of a communication system that reduces noise, thereby generating a reduced-noise digital residue signal;

a channel estimator coupled to the filter that generates a current self-interference channel estimate from a digital transmit signal, the reduced-noise digital residue signal, and past self-interference channel estimates;

wherein the channel estimator generates the current self-interference channel estimate according to a digital transform configuration;

a controller that dynamically sets the digital transform configuration in response to changes in a controller-sampled digital residue signal; and

a channel memory, coupled to the channel estimator, that stores the past self-interference channel estimates;

wherein the system generates a digital self-interference cancellation signal from the current self-interference channel estimate and the digital transmit signal;

wherein the digital self-interference cancellation signal is combined with a receive signal of the communication system to form the digital residue signal.

2. The system of claim 1, wherein the channel estimator generates the digital self-interference cancellation signal from the self-interference channel estimate, the past self-interference channel estimates, and the reduced-noise digital transmit signal.

3. The system of claim 2, wherein the filter generates the reduced-noise digital residue signal by time-averaging the digital residue signal;

wherein time-averaging the digital residue signal comprises time-averaging over an averaging window.

4. The system of claim 3, wherein the controller modifies the averaging window based on a measured magnitude of a ratio of the digital residue signal to the digital transmit signal.

5. The system of claim 4, wherein the controller modifies the averaging window based on a rate of change of the measured magnitude of a ratio of the digital residue signal to the digital transmit signal.

6. The system of claim 3, wherein the controller modifies the averaging window based on a channel dynamics estimation;

wherein the channel dynamics estimation measures variation in the digital residue signal and approaches a first value when the variation is primarily due to channel variation and a second value, non-identical to the first value, when the variation is primarily due to noise variation.

7. The system of claim 6, wherein the controller decreases the averaging window as the channel dynamics estimation approaches the first value and increases the averaging window as the channel dynamics estimation approaches the second value.

8. The system of claim 7, wherein the channel dynamics estimation measures correlation between channel subcarriers corresponding to different frequencies.

9. The system of claim 7, wherein the channel dynamics estimation measures correlation between channel subcarriers corresponding to different times.

10. The system of claim 1, wherein the channel memory stores the past self-interference channel estimates on a per-subcarrier basis.

11. The system of claim 10, wherein the digital transmit signal is on a first subcarrier of a set of signal subcarriers;

wherein the channel estimator generates the current self-interference channel estimate for the set of signal subcarriers by generating a first subcarrier self-interference channel estimate for the first subcarrier and combining the first subcarrier self-interference channel estimate with past self-interference channel estimates corresponding to other subcarriers of the set of signal subcarriers.

12. The system of claim 11, further comprising a predictor that modifies output of the channel estimator to compensate for delay incurred in tuning the system for digital self-interference cancellation.

13. The system of claim 12, wherein the predictor extrapolates the current self-interference channel estimate into a future time using instantaneous time deltas.

14. The system of claim 12, wherein the predictor extrapolates the current self-interference channel estimate into a future time using filtered time deltas.

15. The system of claim 12, wherein the predictor modifies the output of the channel estimator independently for each subcarrier of the set of signal subcarriers.

16. The system of claim 15, wherein the predictor tracks states for each subcarrier of the set of signal subcarriers;

wherein the predictor disables prediction for subcarriers inactive longer than an inactivity threshold;

wherein the predictor enables prediction for newly subcarriers after a time period longer than a warmup threshold.

17. The system of claim 12, wherein the predictor modifies the output of the channel estimator jointly across subcarriers of the set of signal subcarriers.

18. A system for digital self-interference cancellation comprising:

a first transformer that transforms a digital transmit signal and a digital residue signal of a communication system from a time domain to a frequency domain;

a filter coupled to the first transformer that reduces noise in the digital residue signal, thereby generating a reduced-noise digital residue signal;

a channel estimator coupled to the filter that generates a current self-interference channel estimate from a digital transmit signal and the reduced-noise digital residue signal;

wherein the channel estimator generates the current self-interference channel estimate according to a digital transform configuration;

a controller that dynamically sets the digital transform configuration in response to changes in a controller-sampled digital residue signal;

a channel memory, coupled to the channel estimator, that stores the past self-interference channel estimates;

wherein the system generates, in the frequency domain, a digital self-interference cancellation signal from the current self-interference channel estimate, the past self-interference channel estimates, and the digital transmit signal; and

a second transformer that transforms the digital self-interference cancellation signal from the frequency domain to the time domain;

wherein the digital self-interference cancellation signal is combined with a receive signal of the communication system to form the digital residue signal.

19. The system of claim 18, wherein the second transformer performs an Inverse Fast Fourier transform (IFFT) using a reduced Inverse Discrete Fourier Transform (IDFT) matrix calculated by first reducing the number of time and frequency domain components present in a Discrete Fourier Transform (DFT) matrix and then calculating a pseudo-inverse of the reduced DFT matrix to generate the reduced IDFT matrix.

20. The system of claim 18, further comprising an extender that smooths magnitude and phase response of the current self-interference channel estimate in the frequency domain.

21. The system of claim 20, further comprising a third transformer that transforms, after smoothing by the extender and transformation to the time domain by the second transformer, the current self-interference channel estimate from the time domain to the frequency domain and stores the smoothed and transformed self-interference channel estimate in the channel memory.

22. The system of claim 21, further comprising a predictor that modifies the current self-interference channel estimate to compensate for delay incurred in tuning the system for digital self-interference cancellation.

23. The system of claim 22, wherein the predictor is between the channel estimator and the extender;

wherein the predictor performs prediction in the frequency domain.

24. The system of claim 22, wherein the predictor is after the second transformer;

wherein the predictor performs prediction in the time domain.

25. The system of claim 22, wherein the predictor is after the third transformer;

wherein the predictor performs prediction upon the smoothed and transformed self-interference channel estimate prior to storage in the channel memory.