Calibration of MIMO systems with radio distribution networks

• US 8,885,757 B2
• Filed: 12/11/2013
• Issued: 11/11/2014
• Est. Priority Date: 05/29/2012
• Status: Expired due to Fees

• Current Assignee: Magnolia Broadband Incorporated
• Original Assignee: Magnolia Broadband Incorporated
• Inventors: Harel, Haim, Abreu, Eduardo, Kludt, Kenneth
• Primary Examiner(s): NEFF, MICHAEL R
• Application Number:
  US14/102,539
• Publication Number:
  US 20140098902A1
• Time in Patent Office: 335 Days
• Field of Search: 375/267, 375/260, 375/259
• US Class Current: 375/267
• CPC Class Codes: H04B 17/12 of transmit antennas, e.g. of the amplitude or phase
• CPC Class Codes: H04B 7/0413 MIMO systems
• CPC Class Codes: H04B 7/086 using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming

Abstract

A system and method of maintaining performance of an RF Distribution Network that combines signals (phases and amplitudes) passing through components that are subjected to parameters variations due to aging and temperature is disclosed; resultant distortion is reduced or eliminated via a real time calibration.

Claims

1. A system comprising:

a multiple-input-multiple-output (MIMO) receiving system comprising a MIMO baseband module having N branches;

a radio distribution network (RDN) connected to the MIMO receiving system with an antenna array of K antennas, the RDN comprising at least one beamformer with k weighting circuits and one radio frequency (RF) signal combiner configured to combine signals coming from the antennas feeding the respective beamformer into a combined signal, wherein k, K and N are positive integers and wherein k is greater than 1 and K is greater than N, wherein the RDN is tuned for optimal performance using channel estimation of individual contributing antennas of the RDN;

a signal processing control module configured to;

tune the K antennas, wherein the tuning is carried out based on RDN calibration data; and

generate said RDN calibration data, based on at least one of;

offline and real time procedures for eliminating or reducing systematic errors and unpredictable errors,

wherein the calibration is carried out as follows;

using a given beamformer antenna for receiving, while disconnecting other antennas in the same beamformer;

channel estimating the signals received from a serving transmitting station;

for each possible phase and gain setting, for each possible switch setting, and for each possible combiner;

selecting as an anchor or reference point one of said settings, and comparing the channel estimations for all other selected settings to the anchor'"'"'s channel estimation;

creating a calibration table using a deviation between the anchor setting and other settings; and

repeating the calibration process for all antennas and for all beamformers in the RDN.

2. The system according to claim 1, wherein the calibration table is calculated in the following manner:

dividing each of the various possible routing'"'"'s channel estimation measurements by the channel estimation value measured for the anchor setting, resulting in a plurality of complex numbers expressing the power ratio and phase difference between each possible routing setup and the anchor setup.

3. The system according to claim 2, wherein said calibration is carried out several times or periodically and the results are averaged.

4. The system according to claim 3, wherein mobility indication is used for applying weights to said calibration measurements average calculation, and wherein higher mobility values are assigned lower weights to said average process.

5. The system according to claim 3, wherein signal to interference plus noise ratio (SINR) measurements are used for applying weights to said calibration measurements average calculation, and wherein higher SINR values are assigned higher weights to said average process.

6. A system comprising:

a multiple-input-multiple-output (MIMO) receiving system comprising a MIMO baseband module having N branches;

a radio distribution network (RDN) connected to the MIMO receiving system with an antenna array of K antennas, the RDN comprising at least one beamformer with k weighting circuits and one radio frequency (RF) signal combiner configured to combine signals coming from the antennas feeding the respective beamformer into a combined signal, wherein k, K and N are positive integers and wherein k is greater than 1 and K is greater than N, wherein the RDN is tuned for optimal performance using channel estimation of individual contributing antennas of the RDN;

a signal processing control module configured to;

tune the K antennas, wherein the tuning is carried out based on RDN calibration data; and

generate said RDN calibration data, based on at least one of;

offline and real time procedures for eliminating or reducing systematic errors and unpredictable errors,

wherein a real time calibration is performed by using the base station transmission as a calibration reference signal, as follows;

(a) upon activation of a user equipment (UE), a mobility detection is performed, until slow fading is identified;

(b) the RDN is then reduced to first antenna only, via toggling of various switches incorporated inside the RDN, and the measurement of amplitudes and phases at different positions is performed;

(c) next, a second antenna only is activated and the procedure is repeated, and then the next one till all participating RDN antennas are tested;

(d) the real-time calibration procedure of both amplitudes ratios and phases differences is performed a number of times that is sufficient to reduce via averaging, the impact of the external channel fluctuation between time slots; and

the procedure is repeated periodically.

7. A method comprising:

receiving radio frequency (RF) signals via a radio distribution network (RDN) having an antenna array of K antennas, the RDN comprising at least one beamformer with k weighting circuits and one RF signal combiner configured to combine signals coming from the antennas feeding the respective beamformer into a combined signal, wherein k is greater than 1 and K is greater than N;

conveying the combined signal to a multiple-input-multiple-output (MIMO) receiving system comprising a MIMO baseband module having N branches;

generating RDN calibration data, based on both offline and/or real time procedures that eliminate or significantly reduce systematic errors and unpredictable errors introduced during normal operation,

wherein the calibration is carried out by;

using a given beamformer antenna for receiving, while disconnecting other antennas in the same beamformer;

channel estimating the signals received from a serving transmitting station;

for each possible phase and gain setting, for each possible switch setting, and for each possible combiner;

selecting as an anchor or reference point one of said settings, and comparing the channel estimations for all other selected settings to the anchor'"'"'s channel estimation;

creating a calibration table using a deviation between the anchor setting and other settings; and

repeating the calibration process for all antennas and for all beamformers in the RDN.

8. The method according to claim 7, wherein the calibration table is calculated by:

dividing each of the various possible routing'"'"'s channel estimation measurements by the channel estimation value measured for the anchor setting, resulting in a plurality of complex numbers expressing the power ratio and phase difference between each possible routing setup and the anchor setup.

9. The method according to claim 8, wherein said calibration is carried out several times or periodically and the results are averaged.

10. The method according to claim 9, wherein mobility indication is used for applying weights to said calibration measurements average calculation, and wherein higher mobility values are assigned lower weights to said average process.

11. The method according to claim 9 wherein signal to interference plus noise ratio (SINR) measurements are used for applying weights to said calibration measurements average calculation, and wherein higher SINR values are assigned higher weights to said average process.

12. A method comprising:

receiving radio frequency (RF) signals via a radio distribution network (RDN) having an antenna array of K antennas, the RDN comprising at least one beamformer with k weighting circuits and one RF signal combiner configured to combine signals coming from the antennas feeding the respective beamformer into a combined signal, wherein k is greater than 1 and K is greater than N;

conveying the combined signal to a multiple-input-multiple-output (MIMO) receiving system comprising a MIMO baseband module having N branches;

generating RDN calibration data, based on both offline and/or real time procedures that eliminate or significantly reduce systematic errors and unpredictable errors introduced during normal operation,

wherein calibration tables are created by measurement with external test equipment to account for a variation of the phase and gain for each signal as settings of gain and phase are changed when the combiner is bypassed and not bypassed.