Apparatuses and methods for adaptive spatial diversity in a MIMO-based system
Examples described herein include apparatuses and methods to perform adaptive spatial diversity in a MIMO system. An example apparatus may include a plurality of receiving antennas and a wireless receiver configured to receive a respective plurality of receive signals each from a respective receiving antenna of the plurality of receiving antennas. The wireless signal may be further configured to apply a corresponding weight to each of the plurality of signals to provide a plurality of weighted signals and to apply an eigenfilter to the plurality of weighted signals provide a transfer function. The wireless receiver further configured to perform a fast Fourier transform (FFT) on the transfer function to provide output signals in the frequency domain.
1. An apparatus comprising:
a plurality of receiving antennas; and
a wireless receiver configured to receive a respective plurality of receive signals each from a respective receiving antenna of the plurality of receiving antennas, the wireless receiver further configured to apply a corresponding weight to each of the plurality of receive signals to provide a plurality of weighted signals and to apply an eigenfilter to the plurality of weighted signals provide a transfer function, the wireless receiver further configured to perform a fast Fourier transform (FFT) on the transfer function to provide output signals in a frequency domain, wherein, using the output signals, the wireless receiver is further configured to perform an inverse operation to convolutional byte interleaving to de interleave data bits to retrieve transmitted data.
2. The apparatus of claim 1 , wherein the wireless receiver includes the eigenfilter configured to apply eigenvectors to the plurality of signals to provide the transfer function.
3. The apparatus of claim 2 , wherein the eigenfilter is configured to use a sequence of head guided interval and a tailed part of symbols of the plurality of signals to determine weighted coefficients of the eigenvectors.
4. The apparatus of claim 2 , wherein the eigenfilter includes a finite impulse response filter to filter the plurality of weighted signals.
5. The apparatus of claim 1 , wherein the wireless receiver includes a fast Fourier transform module to convert the transfer function from a time domain to the frequency domain.
6. The apparatus of claim 1 , wherein the wireless receiver comprises a digital signal processor to perform the FFT.
7. The apparatus of claim 1 , wherein the wireless receiver is configured to provide a weight vector having weight coefficients selected to meet predefined criteria associated with expected receive signals.
8. The apparatus of claim 7 , wherein the wireless receiver further comprises multipliers configured to combine individual coefficients of the weight vector with corresponding ones of the plurality of signals to provide the plurality of weighted signals.
9. An apparatus comprising:
a plurality of receiving antennas each configured to receive a respective signal of a plurality of signals;
a plurality of multipliers coupled to respective ones of the plurality of receiving antennas, wherein each of the plurality of multipliers is configured to receive the respective signal of the plurality of signals associated with the respective one of the plurality of receiving antennas and to combine the respective signal with a respective coefficient of a weight vector to provide a respective weighted signal;
an eigenfilter configured apply an eigenvector to each of the respective weighted signals to provide a transfer function;
a fast Fourier transform (FFT) to transfer the transfer unction from a time domain to a frequency domain to provide output signals; and
a signal processor configured to, using the output signals, perform an inverse operation to convolutional byte interleaving to de-interleave data bits to retrieve transmitted data.
10. The apparatus of claim 9 , wherein the eigenfilter is configured to select coefficients for the eigenvector to minimize an error.
11. The apparatus of claim 9 , wherein the FFT comprises a digital signal processor.
12. The apparatus of claim 9 , wherein weight coefficients of the weight vector are selected to meet predefined criteria associated with expected receive signals.
13. A method comprising:
receiving a plurality of signals via a plurality of antennas;
applying a respective weight to each of the plurality of signals to provide a plurality of weighted signals;
applying an eigenfilter to the plurality of weighted signals to provide a transfer function; and
performing a fast Fourier transform (FFT) on the transfer function to provide output signals in a frequency domain; and
using the output signals, retrieving transmitted data by performing an inverse operation to convolutional byte interleaving to de-interleave data bits.
14. The method of claim 13 , wherein applying the eigenfilter to the plurality of weighted signals includes applying eigenvectors to the plurality of signals to provide the transfer function.
15. The method of claim 14 , further comprising determining weighted coefficients of the eigenvectors using a sequence of head guided interval and a tailed part of symbols of the plurality of signals.
16. The method of claim 14 , wherein applying the eigenfilter includes applying a finite impulse response filter to filter the plurality of weighted signals.
17. The method of claim 13 , wherein performing the FFT is via a digital signal processor.
18. The method of claim 13 , further comprising providing a weight vector having weight coefficients selected to meet predefined criteria associated with expected receive signals.
19. The method of claim 18 , wherein applying the respective weight to each of the plurality of signals comprises combining individual coefficients of the weight vector with respective ones of the plurality of signals to provide the plurality of weighted signals.