DATA DETECTION IN MIMO SYSTEMS WITH DEMODULATION AND TRACKING REFERENCE SIGNALS

• US 20180167237A1
• Filed: 12/14/2016
• Published: 06/14/2018
• Est. Priority Date: 12/14/2016
• Status: Active Grant

• Current Assignee: Intel Corporation
• Original Assignee: Intel IP Corporation (Intel Corporation)
• Inventors: Gudovskiy, Denis, Rajagopalan, Karthik, Ghaffar, Rizwan, Li, Chuxiang
• Granted Patent: US 10,411,914 B2
• Time in Patent Office: Days
• CPC Class Codes: H04B 7/0413 MIMO systems
• CPC Class Codes: H04B 7/0456 Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
• CPC Class Codes: H04L 2025/03624 Zero-forcing
• CPC Class Codes: H04L 25/023 with extension to other symbols
• CPC Class Codes: H04L 25/0236 using estimation of the other symbols
• CPC Class Codes: H04L 25/0256 Channel estimation using minimum mean square error criteria
• CPC Class Codes: H04L 25/03961 design criteria
• CPC Class Codes: H04L 25/03993 Noise whitening
• CPC Class Codes: H04L 27/2657 Carrier synchronisation
• CPC Class Codes: H04L 27/2695 with channel estimation, e.g. determination of delay spread, derivative or peak tracking channel estimation H04L25/0202
• CPC Class Codes: H04L 5/0048 Allocation of pilot signals, i.e. of signals known to the receiver
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition

Abstract

What is disclosed is a method for wireless communication comprising receiving a wireless communication via a receiver of the mobile communication device, deriving a demodulation reference signal from a first plurality of symbols of the wireless communication; creating a channel estimation matrix using the demodulation reference signal; inverting the channel estimation matrix to obtain a channel pseudo-inverse matrix; deriving a tracking reference signal from a second plurality of symbols of the wireless communication; calculating a phase shift for one or more additional symbols based on the tracking reference signal; determining a corrected channel pseudo-inverse matrix for the one or more additional symbols by adjusting the channel pseudo-inverse matrix according to the calculated phase shift; and controlling the receiver to accomplish data detection using the corrected channel pseudo-inverse matrix on one or more orthogonal frequency division multiplexing subcarriers.

Claims

1. A method adapted for performing MIMO detection in a mobile communication device, the method comprising:

performing wireless communication via a transceiver of the mobile communication device;

generating a demodulation reference signal based on a first plurality of symbols of the wireless communication;

generating a channel estimation matrix based on the demodulation reference signal;

inverting the channel estimation matrix to obtain a channel pseudo-inverse matrix;

generating a tracking reference signal based on a second plurality of symbols of the wireless communication;

calculating a first phase shift based on the tracking reference signal;

adjusting the channel pseudo-inverse matrix for a symbol within a subframe according to the calculated first phase shift; and

calculating a second phase shift based on the tracking reference signal;

adjusting said channel pseudo-inverse matrix for a subsequent symbol within the subframe according to the calculated second phase shift.

2. The method of claim 1, wherein the wireless communication is received on a multiple-input and multiple-output network.

3. The method of claim 1, wherein a first dimension of the channel estimate matrix corresponds to a quantity of receive antennas, and a second dimension of the channel estimate matrix corresponds to a quantity of transmit antennas.

4. The method of claim 1, wherein obtaining the channel pseudo-inverse matrix further comprises isolating each of a plurality of encoded signal data symbols from the wireless communication based on the channel estimation matrix.

5. The method of claim 1, further comprising using the generated channel estimation matrix to perform a MIMO detection to estimate the symbols transmitted.

6. The method of claim 5, further comprising performing the MIMO detection with a zero-forcing equalizer algorithm.

7. The method of claim 5, further comprising performing the MIMO detection with a minimum mean square error equalizer.

8. The method of claim 1, wherein the tracking reference signal is a Phase Noise Compensation Reference Signal.

9. The method of claim 1, further comprising adjusting the channel pseudo-inverse matrix by calculating a Hadamard product of the channel pseudo-inverse matrix and the generated tracking reference signal.

10. The method of claim 1, further comprising rotating a channel pseudo-inverse matrix according to the phase shift to obtain a corrected channel pseudo-inverse matrix for a second symbol period.

11. The method of any of claim 1, further comprising using a method of matrix decomposition to invert the channel estimation matrix to obtain a channel pseudo-inverse matrix.

12. The method of claim 11, further comprising the method of matrix decomposition being QR Decomposition.

13. The method of claim 11, further comprising the method of matrix decomposition being Lower-Upper Decomposition.

14. The method of claim 11, further comprising the method of matrix decomposition being a Cholesky decomposition.

15. The method of claim 11, further comprising the method of matrix decomposition being LDL Decompensation.

16. The method of claim 11, further comprising the method of matrix decomposition being Eigenvalue Decompensation.

17. The method of claim 11, further comprising the method of matrix decomposition being Singular Value Decompensation.

18. A processing circuit arrangement for a wireless communication, said processing circuit arrangement comprising a transceiver, configured to receive a wireless communication comprising a demodulation reference signal and a tracking reference signal;

a signal processing circuit configured to create a channel estimation matrix for the wireless communication; and

a phase calculation circuit configured to calculate a phase shift of the wireless communication using a tracking reference signal;

wherein the signal processing circuit creates a channel estimation matrix based on the demodulation reference signal and inverts the channel estimation matrix to obtain a channel pseudo-inverse matrix;

wherein the phase calculation circuit calculates a first phase shift based on the tracking reference signal and adjusts the channel pseudo-inverse matrix for a symbol within a subframe according to the phase shift; and

calculates a second phase shift based on the tracking reference signal;

adjusts said channel pseudo-inverse matrix for a subsequent symbol without the subframe according to the calculated second phase shift.

19. The processing circuit arrangement of claim 18, further comprising the phase calculation circuit rotating the channel pseudo-inverse matrix based on a plurality of calculated phase shifts to obtain a plurality of corrected channel estimation matrices.

20. A method of performing matrix decomposition in a multiple-input multiple-output system with tracking, said method comprising:

receiving a wireless communication via a receiver of a mobile communication device;

deriving a demodulation reference signal from a first plurality of symbols of the wireless communication;

creating a channel estimation matrix using the demodulation reference signal;

calculating a decompensation matrix of the channel estimation matrix;

deriving a tracking reference signal from a second plurality of symbols of the wireless communication;

calculating a first phase shift for one or more additional symbols based on the tracking reference signal; and

adjusting the decompensation matrix for a symbol within a subframe according to the calculated first phase shift; and

calculating a second phase shift based on the tracking reference signal; and

adjusting said decompensation matrix for a subsequent symbol within the subframe according to the calculated second phase shift.

21. The method of claim 20, further comprising the decompensation matrix being a noise whitening filter.

22. The method of claim 20, further comprising the decompensation matrix being a maximum likelihood detector.

23. The method claim 20, further comprising calculating the decompensation matrix using one of QR Decomposition, Lower-Upper Decomposition, Cholesky decomposition, LDL Decompensation, Eigenvalue Decompensation, or Singular Value Decompensation.