Colored noise detection algorithms

1. A multi-branch equalizer processing module operable to enable interference cancellation when colored noise is associated with received radio frequency (RF) burst(s), comprising:

a noise discriminator operable to identify when colored noise is associated with the received RF burst(s);

a first equalizer operable to be trained based upon a known training sequence, to equalize RF burst(s), and to extract data bits from the RF burst(s); and

a second equalizer operable when colored noise is associated with the received RF burst(s) to:

be trained based upon at least the known training sequence and re-encoded data bits extracted from the RF burst(s);

to equalize the RF burst(s), and

to extract alternate data bits from RF burst(s).

2. The multi-branch equalizer processing module of claim 1 , wherein:

the received RF bursts that the noise discriminator examines to determine if the received RF bursts are interference limited, comprise a first set of RF bursts; and

the received RF bursts that the first equalizer and second equalizer process comprise a second set of RF bursts, wherein the first set of RF bursts preceded the second set of RF bursts.

3. The multi-branch equalizer processing module of claim 1 , wherein the noise discriminator is operable to:

determine a noise autocorrelation matrix for the RF burst(s);

determine a diagonality coefficient of the noise autocorrelation matrix; and

identify when colored noise is associated with the received RF burst(s) based on the diagonality coefficient.

4. The multi-branch equalizer processing module of claim 1 , further comprising:

a deinterleaver operable to deinterleave the extracted data bits from the first equalizer;

a channel decoder operable to decode a frame comprised of the extracted data bits;

a re-encoder operable to re-encode the frame to produce re-encoded data bits;

an interleaver operable to interleave the re-encoded data bits and the known training sequence to produce a re-encoded burst, wherein the second equalizer is operable to also be trained based upon the re-encoded burst(s);

the deinterleaver operable to deinterleave the alternate data bits; and

the channel decoder operable to decode an alternate frame comprised of at least some of the alternate data bits.

5. The multi-branch equalizer processing module of claim 1 , wherein a voice frame comprises a series of RF burst(s).

6. The multi-branch equalizer processing module of claim 1 , wherein a data frame comprises a series of RF burst(s).

7. The multi-branch equalizer processing module of claim 1 , wherein:

the first equalizer comprises:

an I, Q interference cancellation portion; and

a decision feedback equalizer portion; and

the second equalizer comprises:

an I, Q interference cancellation portion; and

a linear equalizer portion.

8. The multi-branch equalizer processing module of claim 1 , wherein:

the received RF bursts that the noise discriminator examines to determine if colored noise is associated the received RF bursts comprises a first set of 4 RF bursts; and

the received RF bursts that the first equalizer and second equalizer process comprise a second set of RF bursts, wherein the first set of RF bursts preceded the second set of RF bursts.

9. A method for operating a multi-branch equalizer processing module to enable interference cancellation when colored noise is associated with received Radio Frequency (RF) burst(s), the method comprising:

identifying when colored noise is associated with the received RF burst(s);

training a first equalizer based upon a known training sequence and a received preamble of the RF burst(s);

equalizing and extracting data bits from the RF burst(s) using the first equalizer; and

when colored noise is associated with the received RF burst(s);

training a second equalizer based upon at least the known training sequence and re-encoded data bits extracted from the RF burst(s) by the first equalizer; and

equalizing and extracting alternate data bits from the RF burst(s) by the second equalizer.

10. The method of claim 9 , further comprising:

examining a first set of received RF burst(s) to determine if the received RF burst(s) are interference limited; and

the first equalizer and second equalizer processing a second set of RF bursts that are received subsequent to receipt of the first set of RF bursts.

11. The method of claim 9 , further comprising:

determining a noise autocorrelation matrix for the RF burst(s);

determining a diagonality coefficient of the noise autocorrelation matrix; and

determining when colored noise is associated with the received RF burst(s) based on the diagonality coefficient.

12. The method of claim 9 , further comprising:

deinterleaving the extracted data bits from the first equalizer;

channel decoding a frame comprised of the extracted data bits;

re-encoding the frame to produce re-encoded data bits;

interleaving the re-encoded data bits and the known training sequence to produce a re-encoded burst that is used to train the second equalizer;

deinterleaving the alternate data bits; and

decode an alternate frame comprised of at least some of the alternate data bits.

13. The method of claim 9 , wherein a voice frame comprises a series of RF burst(s).

14. The method of claim 9 , wherein a data frame comprises a series of RF burst(s).

15. The method of claim 9 , wherein:

the received RF bursts that the noise discriminator examines to determine if colored noise is associated the received RF bursts comprises a first set of 4 RF bursts; and

the received RF bursts that the first equalizer and second equalizer process comprise a second set of RF bursts, wherein the first set of RF bursts preceded the second set of RF bursts.