Systems and methods for pulse descriptor word generation using blind source separation

1. A method for generating pulse descriptor words (“PDWs”) including at least one of frequency data and bandwidth data, from a plurality of time-varying signals using a signal data processor, said method comprising:

filtering, at a plurality of blind source separation (“BSS”) modules of the signal data processor, signals derived from the plurality of time-varying signals, each BSS module of the plurality of BSS modules including a filtering subsystem having a plurality of filter modules, wherein each filter module of the plurality of filter modules has a frequency filter coefficient (“α”) and is parameterized by a center frequency (“f”);

transmitting at least one blind source separated signal from the plurality of BSS modules to a PDW generation module communicatively coupled to the filtering subsystem;

generating, using the PDW generation module and based on the at least one blind source separated signal, at least one PDW parameter vector signal containing the frequency data;

updating, upon generating the at least one PDW parameter vector signal, and based thereupon, at least one of a value of a and α value of f for each filter module of the plurality of filter modules;

outputting the at least one PDW parameter vector signal from the PDW generation module to a computing device communicatively coupled to the signal data processor; and

directing movement of a vehicle based on the at least one PDW parameter vector signal.

2. The method in accordance with claim 1 further comprising storing, in a memory communicatively coupled to the signal data processor, at least one of an updated value of α and an updated value of f, wherein updating at least one of the value of α and the value of f comprises transmitting at least one of the updated value of α and the updated value of f to the each filter module to facilitate tracking the frequency data for the plurality of time-varying signals.

3. The method in accordance with claim 1 further comprising storing, in a memory communicatively coupled to the signal data processor, at least one of an initial value of α and an initial value of f.

4. The method in accordance with claim 1 , wherein filtering signals comprises receiving denoised signals and state energy signals from at least one signal denoising module, said method further comprising determining a value of signal energy of the signals to facilitate tracking at least one of the frequency data and the bandwidth data for the plurality of time-varying signals.

5. The method in accordance with claim 1 , wherein filtering the signals comprises using at least one filter module of the plurality of filter modules having a bandwidth filter coefficient (“β”) and further parameterized by a bandwidth (“w”), and wherein said method further comprises updating at least one of a value of β and a value of w of the at least one filter module.

6. The method in accordance with claim 5 further comprising storing, in a memory communicatively coupled to the signal data processor, at least one of an updated value of β and an updated value of w, wherein updating at least one of the value of β and the value of w comprises transmitting at least one of the updated value of β and the updated value of w to the each filter module to facilitate tracking the bandwidth data for the plurality of time-varying signals.

7. The method in accordance with claim 5 further comprising storing, in a memory communicatively coupled to the signal data processor, at least one of an initial value of β and an initial value of w.

8. The method in accordance with claim 1 further comprising displaying at least one of the at least one PDW parameter vector signal and information derived therefrom on a display.

9. A system for processing a plurality of time-varying signals to generate at least one pulse descriptor word (“PDW”) including at least one of frequency data and bandwidth data, said system comprising:

a sensor configured to receive the at least one time-varying signal;

a signal data processor communicatively coupled to said sensor and comprising:

a plurality of blind source separation (“BSS”) modules, each BSS module of said plurality of BSS modules comprising a filtering subsystem comprising a plurality of filter modules, wherein each filter module of said plurality of filter modules has a frequency filter coefficient (“α”) and is parameterized by a center frequency (“f”); and

a PDW generation module communicatively coupled to said filtering subsystem, said plurality of BSS modules configured to filter signals derived from the plurality of time-varying signals and transmit at least one blind source separated signal to said PDW generation module, said PDW generation module configured to generate, based on the at least one blind source separated signal, at least one PDW parameter vector signal containing the frequency data to facilitate updating, substantially simultaneously with generating the at least one PDW parameter vector signal, and based thereupon, at least one of a value of α and a value of f for each filter module of said plurality of filter modules;

a computing device communicatively coupled to said signal data processor, said computing device configured to receive the at least one PDW parameter vector signal from said PDW generation module; and

a vehicle in communication with said computing device, said system configured to direct movement of said vehicle based on the at least one PDW parameter vector signal.

10. The system in accordance with claim 9 further comprising a memory configured to store at least one of an updated value of α and an updated value of f, wherein said each filter module is configured to receive at least one of the updated value of α and the updated value of f to facilitate tracking the frequency data for the plurality of time-varying signals.

11. The system in accordance with claim 10 wherein said computing device is communicatively coupled to said memory, said computing device further configured to:

deinterleave the at least one PDW parameter vector signal; and

transmit at least one frequency word signal to said signal data processing to further facilitate updating, substantially simultaneously with generating the at least one PDW parameter vector signal, and based thereupon, at least one of the value of α and the value of f for said each filter module.

12. The system in accordance with claim 11 further comprising a display communicatively coupled to said computing device, said computing device configured to display at least one of the at least one PDW parameter vector signal and information derived therefrom on said display.

13. The system in accordance with claim 9 further comprising at least one signal denoising module configured to generate denoised signals and state energy signals derived from the plurality of time-varying signals, said system configured to determine a value of signal energy of the signals to facilitate tracking at least one of the frequency data and the bandwidth data for the plurality of time-varying signals.

14. The system in accordance with claim 9 , wherein at least one filter module of said plurality of filter modules has a bandwidth filter coefficient (“β”) and is further parameterized by a bandwidth (“w”), the at least one PDW parameter vector signal further containing the bandwidth data to facilitate updating, substantially simultaneously with generating the at least one PDW parameter vector signal, and based thereupon, at least one of a value of β and a value of w of said at least one filter module.

15. The system in accordance with claim 14 further comprising a memory configured to store at least one of an updated value of β and an updated value of w, wherein said at least one filter module is configured to receive at least one of the updated value of β and the updated value of w to facilitate tracking the bandwidth data for the plurality of time-varying signals.

16. A signal data processor for processing a plurality of time-varying signals to generate at least one pulse descriptor word (“PDW”) including at least one of frequency data and bandwidth data, said signal data processor comprising:

a plurality of blind source separation (“BSS”) modules, each BSS module of said plurality of BSS modules comprising a filtering subsystem comprising a plurality of filter modules, wherein each filter module of said plurality of filter modules has a frequency filter coefficient (“α”) and is parameterized by a center frequency (“f”); and

a PDW generation module communicatively coupled to said filtering subsystem, said plurality of BSS modules configured to filter signals derived from the plurality of time-varying signals and transmit at least one blind source separated signal to said PDW generation module, said PDW generation module configured to generate, based on the at least one blind source separated signal, at least one PDW parameter vector signal containing the frequency data to facilitate updating, substantially simultaneously with generating the at least one PDW parameter vector signal, and based thereupon, at least one of a value of α and a value of f for each filter module of said plurality of filter modules, wherein said PDW generation module is configured to output the at least one PDW parameter vector signal to a computing device to direct movement of a vehicle based on the at least one PDW parameter vector signal.

17. The signal data processor in accordance with claim 16 further comprising at least one signal denoising module configured to generate denoised signals and state energy signals derived from the plurality of time-varying signals, said signal processing system configured to determine a value of signal energy of the signals to facilitate tracking at least one of the frequency data and the bandwidth data for the plurality of time-varying signals.

18. The signal data processor in accordance with claim 16 , wherein at least one filter module of said plurality of filter modules has a bandwidth filter coefficient (“β”) and is further parameterized by a bandwidth (“w”), the at least one PDW parameter vector signal further containing the bandwidth data to facilitate updating, substantially simultaneously with generating the at least one PDW parameter vector signal, and based thereupon, at least one of a value of β and a value of w of said at least one filter module.