Multimode iterative adaptive smart antenna processing method and apparatus

• US 6,177,906 B1
• Filed: 04/01/1999
• Issued: 01/23/2001
• Est. Priority Date: 04/01/1999
• Status: Expired due to Term

• Current Assignee: Intel Corporation
• Original Assignee: ArrayComm LLC (Ygomi LLC)
• Inventors: Petrus, Paul
• Primary Examiner(s): Tarcza, Thomas H.
• Assistant Examiner(s): PHAN, DAO LINDA
• Application Number:
  US09/286,135
• Time in Patent Office: 663 Days
• Field of Search: 342/378, 342/380, 342/382, 342/383, 342/367, 342/373, 370/310, 370/321, 370/334, 370/347
• US Class Current: 342/378
• CPC Class Codes: H01Q 3/26 varying the relative phase or relative amplitude of energisation between two or more active radiating elements; varying the distribution of energy across a radiating aperture H01Q3/12, H01Q3/22, H01Q3/24 take precedence
• CPC Class Codes: H04B 7/0865 Independent weighting, i.e. weights based on own antenna reception parameters

Abstract

A method and apparatus is described for implementing adaptive smart antenna processing in a receiving communication station that includes an array of antennas and means for adaptive smart antenna processing, the method and apparatus including determining weight vectors for the adaptive smart antenna processing. Using the invention offers advantages when operating in a low SINR environment, for example, in a mobile environment in which the remote users are travelling at high speeds, hence the signals undergo fading. One aspect is hybrid weight adaptation that starts off with a method with good convergence properties, for example, one known to converge in a low SINR environment then switches to a method that converges rapidly, for example when started with relatively high quality initial conditions. To deal with high mobility, the weights determined from data at a particular burst are applied on that particular burst. Such weights may not be optimal for the subsequent bursts. When several users are present in a given channel, a multiport architecture is used to track each individual remote user.

Claims

1. A method for performance improvement of a communication receiver receiving signals transmitted from one or more subscriber units, the communication receiver having an array of antenna elements, the method comprising smart antenna processing signals received by each of the antenna elements of the antenna array to provide a smart antenna processed signal, the adaptive smart antenna processing according to a weight vector determined from the signals received by each of the antenna elements, the weight vector determining comprising:

initializing with a first vector value;

until a switching criterion is met and starting from the first vector value, iteratively modifying the weight vector according to a first adaptive method which minimizes a first cost function, the first adaptive method being an iterative weight determining method with good convergence properties, the final weight vector after the final iteration of the first adaptive method being a second vector value;

starting from the second vector value, modifying the weight vector according to a second adaptive method which minimizes a second cost function, the second adaptive method being a rapidly converging iterative weight determining method,

each iteration of both the first and the second adaptive methods comprising determining a copy signal formed from sets of samples from each of the received signals, one set of samples from each received signal, the copy signal formed using the then current weight vector value.

2. The method of claim 1, wherein the signals are received at each antenna element burst-by-burst, and wherein the sets of samples are from mutually contemporary bursts, and wherein the adaptive smart antenna processing of any set of mutually contemporary bursts uses the weight vector determined from sets of samples of the same mutually contemporary bursts.

3. The method of claim 1, wherein the weight vector determining is blind.

4. The method of claim 1, wherein the weight vector determining uses at least one digital signal processor.

5. The method of claim 3, wherein the received signals comprise TDMA signals.

6. The method of claim 5, wherein the received signals substantially conform to PHS signals.

7. In a communication receiver receiving signals transmitted from one or more subscriber units, the communication receiver having an array of antenna elements and adaptive smart antenna processing means, the adaptive smart antenna processing means including means for weighting the signals received by each of the elements of the antenna array in amplitude and phase according to a weight vector for each subscriber unit, the weighting forming a copy signal for the subscriber unit, a method of determining the weight vector for receiving a particular signal transmitted by a particular subscriber unit, the method comprising:

initializing with a first initial vector value;

until a switching criterion is met and starting from the first initial vector value, iteratively modifying the weight vector according to a first adaptive method which minimizes a first cost function, the first adaptive method being an iterative weight determining method with good convergence properties, the final weight vector after the final iteration of the first adaptive method being a second vector value; and

starting from the second vector value, modifying the weight vector according to a second adaptive method which minimizes a second cost function, the second adaptive method being a rapidly converging iterative weight determining method.

8. The method of claim 7, wherein the switching criterion is a specified first number N₁ of iterations.

9. The method of claim 7, wherein the first adaptive method includes a copy generation step, and wherein switching criterion is the estimated SINR at the output of the copy generation.

10. The method of claim 7, wherein the first adaptive method is a partial property restoral method and the second adaptive method is a decision directed method.

11. The method of claim 10, wherein the first adaptive method is a constant modulus method.

12. The method of claim 10, wherein each iterative method includes a copy generation step, and wherein the second cost function includes a difference term, the difference being between a weighted signal and a decision directed reference signal formed from the copy signal, the decision directed reference signal forming including a tracking mechanism that forms the phase of the reference signal at a sample point by relaxing the phase of a signal ideally advanced from a previous reference signal sample, towards the phase of the copy signal at the same sample point.

13. The method of claim 10, wherein each iterative method includes a copy generation step, and wherein the first cost function includes a square of difference term, the difference being between a weighted signal and a constant modulus reference signal formed from the copy signal.

14. In a communication receiver receiving signals transmitted from a plurality of subscriber units, the communication receiver having an array of antenna elements and adaptive smart antenna processing means, the adaptive smart antenna processing means including weighting means for weighting the signals received by each of the elements of the antenna array in amplitude and phase according to a weight vector for a particular remote subscriber unit, the weighting forming a copy signal for that subscriber unit, a method of determining the weight vectors for receiving signals transmitted by the plurality of subscriber units, the method comprising:

for each subscriber unit, initializing with a first initial vector value, the set of first initial vector values being sufficiently mutually independent; and

for each weight vector for each subscriber unit,

until a switching criterion is met and starting from the first initial vector value, iteratively modifying the weight vector according to a first adaptive method which minimizes a first cost function, the first adaptive method being an iterative weight determining method with good convergence properties, the final weight vector after the final iteration of the first adaptive method being a second vector value; and

starting from the second vector value, modifying the weight vector according to a second adaptive method which minimizes a second cost function, the second adaptive method being a rapidly converging weight determining method.

15. The method of claim 14, wherein the switching criterion is a specified first number N₁ of iterations.

16. The method of claim 14, wherein the first adaptive method includes a copy generation step, and wherein the switching criterion is the estimated SINR at the output of the copy generation step.

17. The method of claim 14, wherein the first adaptive method is a partial property restoral method and the second adaptive method is a decision directed method.

18. The method of claim 17, wherein the first adaptive method is a constant modulus method.

19. The method of claim 14, wherein the set of first initial values are linearly independent.

20. The method of claim 19, wherein the set of first initial values are the largest eigenvectors of R_zz, wherein there are m antenna elements and R_zz is the autocorrelation matrix of the m-vector of signals formed at m antenna elements.

21. In a communication receiver receiving signals transmitted from one or more subscriber units, the communication receiver having an array of antenna elements and spatio-temporal processing means, the spatio-temporal processing means including means for jointly weighting and time-equalizing the amplitude and phase of the signals received by each of the elements of the antenna array according to a complex valued weight matrix for each subscriber unit, the convolving forming a copy signal for the subscriber unit, a method of determining the weight matrix for receiving a particular signal transmitted by a particular subscriber unit, the method comprising:

initializing with a first initial matrix value;

until a switching criterion is met and starting from the first initial matrix value, iteratively modifying the weight matrix according to a first adaptive method which minimizes a first cost function, the first adaptive being an iterative weight determining method with good convergence properties, the final weight matrix after the final iteration of the first adaptive method being a second matrix value; and

starting from the second matrix value, iteratively modifying the weight matrix according to a second adaptive method which minimizes a second cost function, the second adaptive method being a rapidly converging weight determining method.

22. In a communication receiver receiving signals transmitted from one or more subscriber units, the communication receiver comprising an array of antenna elements and adaptive smart antenna processing means, the adaptive smart antenna processing means including means for weighting the signals received by each of the elements of the antenna array in amplitude and phase according to a weight vector for each subscriber unit, the weighting forming a copy signal for the subscriber unit, an apparatus for determining the weight vector for receiving a particular signal transmitted by a particular subscriber unit, the weight determining means comprising:

initializing means for initializing with a first initial vector value;

first iterative means for iteratively modifying the weight vector according to a first adaptive method which minimizes a first cost function, the first adaptive method being an iterative weight determining method with good convergence properties,

second iterative means for iteratively modifying the weight vector according to a second adaptive method which minimizes a second cost function, the second adaptive method being a rapidly converging iterative weight determining method, and

a controller for

activating the first iterative means starting from the first initial vector value provided by the initializing means until a switching criterion is met, the final weight vector after the final iteration of the first adaptive method being a second vector value, and

activating the second iterative means starting from the second vector value to determine the weight vector.

23. The apparatus of claim 22, wherein the switching criterion is a specified first number N₁ of iterations.

24. The apparatus of claim 22, further comprising an SINR estimator, wherein the first adaptive method includes a copy generation step, wherein the SINR estimator estimates the SINR at the output of the copy generation step in the first adaptive method, wherein the SINR estimator output is coupled to the controller, and wherein switching criterion is the estimated SINR at the output of the first adaptive method copy generation step.

25. The apparatus of claim 22, wherein the first adaptive method is a partial property restoral method and the second adaptive method is a decision directed method.

26. The apparatus of claim 25, wherein the first adaptive method is a constant modulus method.

27. The apparatus of claim 25, wherein each iterative method includes a copy generation step, and wherein the second cost function includes a difference term, the difference being between a weighted signal and a decision directed reference signal formed from the copy signal, the decision directed reference signal forming including a tracking mechanism that forms the phase of the reference signal at a sample point by relaxing the phase of a signal ideally advanced from a previous reference signal sample, towards the phase of the copy signal at the same sample point.

28. The apparatus of claim 25, wherein each iterative method includes a copy generation step, and wherein the first cost function includes a square of difference term, the difference being between a weighted signal and a constant modulus reference signal formed from the copy signal.

29. The apparatus of claim 22, wherein the signals received at each antenna element comprise a sequence of bursts, and wherein the adaptive smart antenna processing of any set of mutually contemporary bursts uses the weight vector determined from sets of samples of the same mutually contemporary bursts.

30. The apparatus of claim 22, wherein the weight vector determining is blind.

31. The apparatus of claim 22, further comprising at least one digital signal processor.

32. The apparatus of claim 29, wherein the received signals comprise TDMA signals.

33. The apparatus of claim 32, wherein the received signals substantially conform to PHS signals.