Rake receiver for spread spectrum chaotic communications systems

• US 8,363,700 B2
• Filed: 07/01/2009
• Issued: 01/29/2013
• Est. Priority Date: 07/01/2009
• Status: Active Grant

• Current Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Original Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Inventors: Michaels, Alan J., Chester, David B.
• Primary Examiner(s): Payne, David C.
• Assistant Examiner(s): Haider, Syed
• Application Number:
  US12/496,123
• Publication Number:
  US 20110002366A1
• Time in Patent Office: 1,308 Days
• Field of Search: 375/130, 375/131, 375/140, 375/141, 375/146, 375/147, 375/148, 375/150, 375/242, 375/253, 375/295, 375/316, 375/367, 370/320, 370/335, 370/338, 370/342, 370/441
• US Class Current: 375/148
• CPC Class Codes: H04B 1/7115 Constructive combining of multi-path signals, i.e. RAKE receivers
• CPC Class Codes: H04J 13/0018 Chaotic

Abstract

A receiver (104) in communications system (100) includes an antenna system (302) for receiving a composite signal comprising multi-path components associated with the multi-path images of a transmitted signal. The receiver also includes a correlation system (368) for correlating the received composite signal with a spreading sequence using different time-offset values to generate time-offset de-spread signals associated with at least a portion the multi-path images, where the spreading sequence is based on sequence of discrete-time chaotic samples. The receiver further includes receiver fingers (108a-108n) for generating synchronized de-spread signals from the time-offset de-spread signals based at least on said time-offset values. The receiver also includes a combiner (350) for combining the de-spread signals into a combined coherent de-spread signal.

Claims

1. A method of recovering information encoded in a carrier modulated using a sequence of discrete-time chaotic samples and transmitted in a communications medium, the method comprising the steps of:

receiving a composite signal comprising a plurality of multi-path components, each of said plurality of multi-path components associated with a plurality of multi-path images of a transmitted signal;

combining said sequence of discrete-time chaotic samples and a first dominate component of said plurality of multi-path components to obtain a first reference input signal;

analyzing samples of said first reference input signal which are contained in a first correlation window to determine a first time-offset value;

time synchronizing said sequence of discrete-time chaotic samples with said first dominant component using said first time-offset value;

combining said sequence of discrete-time chaotic samples, which was time synchronized, with each of a plurality of second dominant components of said plurality of multi-path components to obtain a plurality of second reference input signals;

analyzing samples of each said second reference input signal which are contained in a second correlation window to determine one of a plurality of different second time-offset values, said second correlation window smaller than said first correlation window;

correlating the received composite signal with a spreading sequence using said plurality of different second time-offset values to generate a plurality of time-offset de-spread signals associated with said plurality of second dominate components, said spreading sequence based on said sequence of discrete-time chaotic samples;

modifying at least a portion of said plurality of time-offset de-spread signals based at least on said second time-offset values to synchronize said plurality of time-offset de-spread signals; and

combining said plurality of de-spread signals into a combined coherent de-spread signal after said modifying.

2. The method of claim 1, wherein the step of modifying further comprises:

adjusting said portion of said plurality of time-offset de-spread signals to synchronize said plurality of time-offset de-spread signals in time, in phase, and in frequency.

7. The method of claim 1, wherein said sequence of discrete time chaotic samples is generated by:

selecting a plurality of polynomial equations;

using residue number system (RNS) arithmetic operations to respectively determine a plurality of solutions for said plurality of polynomial equations, said plurality of solutions iteratively computed and expressed as RNS residue values; and

determining a series of digits in a weighted number system based on said plurality of RNS residue values.

8. The method according to claim 7, further comprising using a Chinese Remainder Theorem or mixed-radix conversion process to determine a series of digits in said weighted number system based on said plurality of RNS residue values.

9. The method of claim 1, wherein said sequence of discrete-time chaotic samples are generated using a chaotic constant amplitude zero autocorrelation (CAZAC) waveform.

3. A method of recovering information encoded in a carrier modulated using a sequence of discrete-time chaotic samples and transmitted in a communications medium, the method comprising the steps of:

receiving a composite signal comprising a plurality of multi-path components, each of said plurality of multi-path components associated with a plurality of multi-path images of a transmitted signal;

correlating the received composite signal with a spreading sequence using different time-offset values to generate a plurality of time-offset de-spread signals associated with at least a portion of said plurality of multi-path components, said spreading sequence based on said sequence of discrete-time chaotic samples;

modifying at least a portion of said plurality of time-offset de-spread signals based at least on said time-offset values to synchronize said plurality of time-offset de-spread signals; and

combining said plurality of de-spread signals into a combined coherent de-spread signal after said modifying;

wherein the step of correlating further comprises;

selecting a first dominant component of the plurality of multipath components in said composite signal;

determining an initial time offset value for synchronizing said sequence of discrete-time chaotic samples and the dominant component based on a first correlation window;

selecting at least a second dominant component of the plurality of multipath components in said composite signal;

determining said different time offset values for synchronizing said sequence of discrete-time chaotic samples using the first and the second dominant components based on said initial time offset value and second correlation windows smaller than said first correlation window.

4. The method of claim 3, wherein the step of selecting said first dominant component comprises:

determining a signal-to-noise ratio (SNR) for the plurality of multipath components;

choosing a one of said plurality of multipath components having a highest (SNR) as said first dominant component.

5. The method of claim 4, wherein the step of selecting said at least second dominant component comprises:

choosing at least one other of said plurality of multipath components having a next highest SNR.

6. The method of claim 3, where said correlating further comprises:

adjusting said sequence of discrete time chaotic samples and at least one operating parameter for modifying said portion of said plurality of time-offset de-spread signals based at least on a mean location of the first and the second dominant components as a function of time.

10. A receiver in a communications system, comprising:

an antenna system configured to receive a composite signal comprising a plurality of multi-path components, each of said plurality of multi-path components associated with a plurality of multi-path images of a transmitted signal;

a correlation system configured to

combine a de-spreading sequence and a first dominate component of said plurality of multi-path components to obtain a first reference input signal,

analyze samples of said de-spreading sequence which are contained in a first correlation window to determine a first time-offset value,

time synchronizing said de-spreading sequence with said first dominant component using said first time-offset value,

combining said de-spreading sequence, which was time synchronized with said first dominant component, with each of a plurality of second dominant components of said plurality of multi-path components to obtain a plurality of second reference input signals, and

correlate the received composite signal with said de-spreading sequence using said plurality of different second time-offset values to generate a plurality of time-offset de-spread signals associated with said plurality of second dominant components, said de-spreading sequence based on a sequence of discrete-time chaotic samples;

a plurality of receiver fingers configured to generate a plurality of synchronized de-spread signals from said plurality of time-offset de-spread signals based at least on said time-offset values; and

a combiner configured to combine said plurality of de-spread signals into a combined coherent de-spread signal after said plurality of synchronized de-spread signal generated.

11. The receiver of claim 10, wherein said plurality of receiver fingers are further configured during said generating to modify at least a portion of said plurality of time-offset de-spread signals to synchronize said plurality of time-offset de-spread signals in time, in phase, and in frequency.

16. The system of claim 10, further comprising a chaos generator to generate said sequence of discrete time chaotic samples.

17. The system of claim 16, wherein said chaos generator comprises a chaotic constant amplitude zero autocorrelation (CAZAC) waveform generator.

18. The system of claim 10, further comprising a controller configured to generate operating parameters for each of said plurality of receiver fingers and to associate each of said plurality of time-offset de-spread signals with a different one of said plurality of receiver fingers.

19. The system of claim 10, wherein said correlation system is configured to perform an adaptive correlation to generate said plurality of time-offset de-spread signals.

12. A receiver in communications system comprising:

an antenna system configured to receive a composite signal comprising a plurality of multi-path components, each of said plurality of multi-path components associated with a plurality of multi-path images of a transmitted signal;

a correlation system configured to correlate the received composite signal with a spreading sequence using different time-offset values to generate a plurality of time-offset de-spread signals associated with at least a portion of said plurality of multi-path images, said spreading sequence based on a sequence of discrete-time chaotic samples;

a plurality of receiver fingers configured to generate a plurality of synchronized de-spread signals from said plurality of time-offset de-spread signals based at least on said time-offset values; and

a combiner configured to combine said plurality of de-spread signals into a combined coherent de-spread signal after said modifying;

wherein said correlator system is further configured during said correlating to;

select a first dominant component of the plurality of multipath components in said composite signal;

determine an initial time offset value for synchronizing said sequence of discrete-time chaotic samples and the dominant component based on a first correlation window;

select at least a second dominant component of the plurality of multipath components in said composite signal; and

determine said different time offset values for synchronizing said sequence of discrete-time chaotic samples using the first and the second dominant components based on said initial time offset value and second correlation windows smaller than said first correlation window.

13. The system of claim 12, wherein said correlator system is further configured during said selecting of said first dominant component to determine a signal-to-noise ratio (SNR) for the plurality of multipath components, and choose a one of said plurality of multipath components having a highest SNR as said first dominant component.

14. The system of claim 13, wherein said correlator system is further configured during said selecting of said at least second dominant component to choose at least one other of said plurality of multipath components having a next highest SNR.

15. The system of claim 12, where said correlator system is further configured during said correlating to adjust said sequence of discrete time chaotic samples and at least one operating parameter for modifying said portion of said plurality of time-offset de-spread signals based at least on a mean location of the first and the second dominant components as a function of time.

20. A RAKE receiver, comprising:

an antenna system configured to receive a composite signal comprising a plurality of multi-path components, each of said plurality of multi-path components associated with a plurality of multi-path images of a transmitted signal;

a correlation system configured to

combine a de-spreading sequence and a first dominate component of said plurality of multi-path components to obtain a first reference input signal,

analyze samples of said de-spreading sequence which are contained in a first correlation window to determine a first time-offset value,

time synchronizing said de-spreading sequence with said first dominant component using said first time-offset value,

combining said de-spreading sequence, which was time synchronized with said first dominant component, with each of a plurality of second dominant components of said plurality of multi-path components to obtain a plurality of second reference input signals, and

correlate the received composite signal with said de-spreading sequence using said plurality of different second time-offset values to generate a plurality of time-offset de-spread signals associated with said plurality of second dominant components, said de-spreading sequence based on a sequence of discrete-time chaotic samples;

a plurality of RAKE receiver fingers configured to modify at least a portion of said plurality of time-offset de-spread signals based at least on said second time-offset values to synchronize said plurality of time-offset de-spread signals;

a controller configured to generate operating parameters for each of said plurality of RAKE receiver fingers and to associate each of said plurality of time-offset de-spread signals with a different one of said plurality of RAKE receiver fingers; and

a combiner configured to combine said plurality of de-spread signals from said plurality of RAKE fingers into a combined phase coherent de-spread signal.