Real-time separation of signal components in spectrum analyzer

• US 9,577,798 B1
• Filed: 04/30/2014
• Issued: 02/21/2017
• Est. Priority Date: 04/30/2014
• Status: Active Grant

• Current Assignee: Keysight Technologies, Inc.
• Original Assignee: Keysight Technologies, Inc.
• Inventors: Al-Adnani, Adnan, Melis, Joeri, Hendrix, Zeger, Philips, Lieven, Verhaegen, Gery
• Primary Examiner(s): Pham, Chi H
• Assistant Examiner(s): Huang, Weibin
• Application Number:
  US14/265,741
• Time in Patent Office: 1,028 Days
• US Class Current: 1/1
• CPC Class Codes: G01R 23/165 using filters
• CPC Class Codes: H04L 27/2654 Filtering per subcarrier, e.g. filterbank multicarrier [FBMC]
• CPC Class Codes: H04L 5/0005 Time-frequency

Abstract

Filterbank windowing and Fourier transformation are used to distinguish sub-bands of interest from other sub-bands of an input signal. The sub-bands of interest are selected and then subjected to additional windowing and Fourier transformation.

Claims

1. A method comprising:

applying filterbank windowing to an input signal to produce first samples in the time domain;

transforming the first samples in the time domain into first bins in the frequency domain such that the number of first bins is the same as the number of first samples;

selecting a sub-band of the input signal based on the first bins;

applying windowing to the sub-band to produce second samples in the time domain for the sub-band; and

transforming the second samples in the time domain into second bins in the frequency domain such that the number of second bins is the same as the number of second samples.

2. The method of claim 1, further comprising:

selecting another sub-band of the input signal based on the second bins;

applying windowing to the other sub-band to produce third samples in the time domain for the other sub-band; and

transforming the third samples in the time domain into third bins in the frequency domain such that the number of third bins is the same as the number of third samples.

3. The method of claim 1, further comprising analyzing the first bins and detecting the sub-band based on the analysis.

4. The method of claim 1, wherein the sub-band is selected based on a priori information regarding the input signal.

5. The method of claim 4, wherein the a priori information comprises a frequency hopping pattern of the input signal.

6. The method of claim 1, further comprising displaying information of the second bins on a spectrum analyzer.

7. The method of claim 6, further comprising displaying the information as a density histogram.

8. The method of claim 6, further comprising displaying the information as a spectrogram.

9. The method of claim 1, wherein the windowing applied to the sub-band to produce the second samples is filterbank windowing.

10. The method of claim 1, wherein the transform applied to the first samples is a Fourier transform.

11. The method of claim 1, wherein the transform applied to the second samples is a Fourier transform.

12. The method of claim 1, wherein the first samples are transformed using a Fourier transform having a first rate and the second samples are transformed using a Fourier transform having a second rate lower than the first rate.

13. A system comprising:

a filterbank that applies filterbank windowing to an input signal to produce first samples in the time domain; and

a digital signal processor that;

transforms the first samples in the time domain into first bins in the frequency domain such that the number of first bins is the same as the number of first samples;

selects a sub-band of the input signal based on the first bins;

applying windowing to the sub-band to produce second samples in the time domain for the sub-band; and

transforming the second samples in the time domain into second bins in the frequency domain such that the number of second bins is the same as the number of second samples.

14. The system of claim 13, further comprising a display that displays a density histogram based on the second bins.

15. The system of claim 14, wherein the density histogram comprises a curve.

16. The system of claim 13, further comprising a display that displays a spectrogram based on the second bins.

17. The system of claim 13, further comprising a detector that analyzes the first bins and detects the sub-band to be selected based on the analysis.

18. The system of claim 13, wherein the sub-band is selected based on a priori information regarding the input signal.

19. The system of claim 18, wherein the a priori information comprises a frequency hopping pattern of the input signal.

20. The system of claim 13, wherein the first samples are transformed using a Fourier transform having a first rate and the second samples are transformed using a Fourier transform having a second rate lower than the first rate.