Iterative interference cancellation system and method

• US 20070093261A1
• Filed: 04/19/2006
• Published: 04/26/2007
• Est. Priority Date: 10/24/2005
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Hou, Jilei, Chen, Jinghu, Smee, John, Soriaga, Joseph
• Granted Patent: US 8,472,877 B2
• Time in Patent Office: Days
• US Class Current: 455/506
• CPC Class Codes: H04B 1/7085 using a code tracking loop, e.g. a delay-locked loop
• CPC Class Codes: H04B 1/71072 Successive interference cancellation
• 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

Abstract

A system and method for Interference Cancellation (IC). One aspect relates to iterative interference cancellation with iterative finger delay adaptation. The interference cancellation method comprises receiving multi-paths of a signal; and performing iterative interference cancellation to remove multi-path interference, wherein the performing iterative IC comprises estimating a Signal-to-Interference-plus-Noise Ratio (SINR) at each of a plurality of pre-determined rake receiver finger delays, and performing successive Channel Estimation (CE) and IC on rake receiver fingers according to their estimated SINRs, and wherein the CE of a next finger does not start until interference of a previous finger is removed from a sample buffer. The method may further comprise improving estimated rake receiver finger delay, and each iteration decreases the amount of interference observed by each finger.

Claims

1. An interference cancellation (IC) method in a communication system, comprising:

receiving multi-paths of a signal; and

performing iterative interference cancellation to remove multi-path interference.

2. The method of claim 1, wherein performing iterative interference cancellation to remove multi-path interference comprises:

estimating a Signal-to-Interference-plus-Noise Ratio (SINR) at each of a plurality of pre-determined rake receiver finger delays; and

performing successive Channel Estimation (CE) and interference cancellation on rake receiver fingers according to their estimated SINRs, wherein the channel estimation of a next finger does not start until interference of a previous finger is removed from a sample buffer.

3. The method of claim 2, further comprising improving estimated rake receiver finger delay.

4. The method of claim 2, wherein each iteration decreases the amount of interference observed by each finger.

5. The method of claim 2, wherein if an iteration is not greater than a pre-determined maximum iteration number, further comprising:

for each finger l, subtracting interference from all other fingers that are reconstructed at the previous iteration from the total received signals;

for the same finger, at its finger delay used in the previous iteration, {circumflex over (d)}_k,l, and M neighbor offsets on each side of {circumflex over (d)}_k,l, computing amplitudes of channel estimates at each of those 2M+1 offsets;

setting the new {circumflex over (d)}_k,l as the offset, out of the total 2M+1 offsets, with the largest channel estimate amplitude; and

at the new {circumflex over (d)}_k,l, performing CE and IC algorithms for this finger.

6. The method of claim 1, wherein for the channel estimation of each rake receiver, further comprising performing channel estimation based on data symbols to obtain ĥ

, the value of which is multiplied by a scaling factor α

to minimize mean square error (MSE).

7. The method of claim 6, wherein α

is chosen as

$\mathrm{\alpha <br><br>}=\frac{\mathrm{\gamma <br><br>}·<br><br>N}{1+\left(\mathrm{\gamma <br><br>}·<br><br>N\right)},$

where γ

indicates the per finger SINR and

N is the length of data symbols being accumulated based on which the value ĥ

is obtained.

8. The method of claim 1, wherein performing iterative interference cancellation to remove multi-path interference comprises removing bias in estimated channel coefficients from other multi-paths due to side-lobe or main lobe energy leakage.

9. The method of claim 8, wherein performing iterative interference cancellation to remove bias in estimated channel coefficients from other multi-paths due to side-lobe or main lobe energy leakage comprises:

estimating a Signal-to-Interference-plus-Noise Ratio (SINR) at each of a plurality of pre-determined rake receiver finger delays; and

performing successive Channel Estimation (CE) and interference cancellation on rake receiver fingers according to their estimated SINRs,

wherein the channel estimation of a next finger does not start until interference of a previous finger is removed from a sample buffer.

10. The method of claim 2, wherein if an iteration is greater than a predetermined maximum iteration number, further comprising removing reconstructed interference accumulated over all fingers from received signals.

11. The method of claim 1, wherein the signal comprises a Code Division Multiple Access (CDMA) or a Wideband CDMA (WCDMA) signal.

12. An interference cancellation (IC) apparatus comprising:

a receiver configured to receive multi-paths of a signal; and

a module configured to perform iterative interference cancellation to remove multi-path interference.

13. The apparatus of claim 12, wherein the module comprises:

means for estimating a Signal-to-Interference-plus-Noise Ratio (SINR) at each of a plurality of pre-determined rake receiver finger delays; and

means for performing successive Channel Estimation (CE) and interference cancellation on rake receiver fingers according to their estimated SINRs,

wherein the channel estimation of a next finger does not start until interference of a previous finger is removed from a sample buffer.

14. The apparatus of claim 13, further means for comprising improving estimated rake receiver finger delay.

15. The apparatus of claim 13, wherein each iteration decreases the amount of interference observed by each finger.

16. The apparatus of claim 13, wherein if an iteration is not greater than a pre-determined maximum iteration number, further comprising:

for each finger l, means for subtracting interference from all other fingers that are reconstructed at the previous iteration from the total received signals;

for the same finger, at its finger delay used in the previous iteration, {circumflex over (d)}_k,l, and M neighbor offsets on each side of {circumflex over (d)}_k,l, means for computing amplitudes of channel estimates at each of those 2M+1 offsets;

means for setting the new {circumflex over (d)}_k,l as the offset, out of the total 2M+1 offsets, with the largest channel estimate amplitude; and

at the new {circumflex over (d)}_k,l, means for performing CE and IC algorithms for this finger.

17. The apparatus of claim 13, wherein the means for performing channel estimation for each rake receiver further comprises performing channel estimation based on data symbols to obtain ĥ

, the value of which is multiplied by a scaling factor α

to minimize mean square error (MSE).

18. The apparatus of claim 16, wherein α

is chosen as

$\mathrm{\alpha <br><br>}=\frac{\mathrm{\gamma <br><br>}·<br><br>N}{1+\left(\mathrm{\gamma <br><br>}·<br><br>N\right)},$

where γ

indicates the per finger SINR and

N is the length of data symbols being accumulated based on which the value ĥ

is obtained.

19. The apparatus of claim 12, wherein the module is further configured to remove bias in estimated channel coefficients from other multi-paths due to side-lobe or main lobe energy leakage.

20. The apparatus of claim 19, wherein the module comprises:

means for estimating a Signal-to-Interference-plus-Noise Ratio (SINR) at each of a plurality of pre-determined rake receiver finger delays; and

means for performing successive Channel Estimation (CE) and interference cancellation on rake receiver fingers according to their estimated SINRs,

wherein the channel estimation of a next finger does not start until interference of a previous finger is removed from a sample buffer.

21. The apparatus of claim 13, wherein if an iteration is greater than a predetermined maximum iteration number, further comprising means for removing reconstructed interference accumulated over all fingers from received signals.

22. The method of claim 12, wherein the signal comprises a Code Division Multiple Access (CDMA) or a Wideband CDMA (WCDMA) signal.

23. A base station comprising:

a memory configured to store samples of multi-paths of signals received from a plurality of access terminals;

a demodulator configured to demodulate the stored samples using a first code sequence corresponding to a first access terminal;

a decoder configured to decode data from the demodulated samples;

a reconstruction unit configured to use decoded data to reconstruct encoded and modulated samples of the multi-paths; and

an iterative interference cancellation unit configured to remove reconstructed samples of the multi-paths from the samples stored in the memory.

24. The base station of claim 23, wherein the demodulator comprises a rake receiver having a plurality of finger processing units to process the multi-paths, each finger processing unit having a unique delay to process samples from the memory.

25. The base station of claim 23, wherein the reconstruction unit is configured to reconstruct data by at least one of re-encoding, re-interleaving, re-modulating, re-applying a data channel gain and re-spreading.

26. The base station of claim 24, wherein for each finger processing units, the demodulator performs channel estimation based on data symbols to obtain ĥ

, the value of which is multiplied by a scaling factor α

to minimize mean square error (MSE).

27. The base station of claim 26, wherein α

is chosen as

$\mathrm{\alpha <br><br>}=\frac{\mathrm{\gamma <br><br>}·<br><br>N}{1+\left(\mathrm{\gamma <br><br>}·<br><br>N\right)},$

where γ

indicates the per finger SINR and

N is the length of data symbols being accumulated based on which the value ĥ

is obtained.

28. The base station of claim 23, wherein the base station is configured to receive and process Code Division Multiple Access (CDMA) signals from the access terminals.

29. The base station of claim 23, wherein the base station is configured to receive and process Wideband CDMA (WCDMA) signals from the access terminals.