Method for measuring frequency modulation rate characteristics for a swept frequency signal

• US 5,291,200 A
• Filed: 08/20/1992
• Issued: 03/01/1994
• Est. Priority Date: 08/20/1992
• Status: Expired due to Term

• Current Assignee: Alliedsignal Inc. (Honeywell International Inc.)
• Original Assignee: Alliedsignal Inc. (Honeywell International Inc.)
• Inventors: Lo, Pei-hwa
• Primary Examiner(s): Sotomayor, John B.
• Application Number:
  US07/932,822
• Time in Patent Office: 558 Days
• Field of Search: 375/45, 375/62, 371/16.5, 342/13, 342/174, 342/200, 342/173, 342/195
• US Class Current: 342/13
• CPC Class Codes: G01R 23/16 Spectrum analysis; Fourier analysis

Abstract

A method for characterizing frequency modulation rate parameters for a swept frequency signal is based on zero crossing counting and digital signal processing. The method is easy to implement and does not require batch processing so as to be suitable for real time tracking of frequency variations in a variety of applications.

Claims

1. A method for measuring frequency modulation rate characteristics for a swept frequency signal, comprising:

sampling the zero crossings of a frequency modulation rate signal;

using the sampled zero crossings for initially estimating the sweeping characteristics of the frequency modulation rate signal;

tracking the error of the estimate;

updating the estimate if the error is beyond a predetermined threshold; and

using the updated estimate for measuring the frequency modulation rate characteristics.

2. A method as described by claim 1, wherein sampling the zero crossings of a frequency modulation rate signal includes:

digitizing the frequency modulation rate signal; and

measuring the zero crossing times of the digitized signal.

3. A method as described by claim 1, wherein sampling the zero crossings of the frequency modulation rate signal includes:

timing the zero crossings of the frequency modulation rate signal; and

counting and tracking the elapsed time between pairs of zero crossings.

4. A method as described by claim 1, wherein updating the estimate if the error is beyond a predetermined threshold includes:

filtering the estimate using Kalman filtering.

5. A method as described by claim 4, including:

avoiding long tracking periods by discarding all filtered estimates so that only the most recent estimates are used for determining if the tracking error is beyond the predetermined threshold.

6. A method as described by claim 1, wherein sampling the zero crossings of a frequency modulation rate signal includes:

varying the number of samples for insuring the validity of a piece-wise linear frequency model.

7. A method as described by claim 6, wherein varying the number of samples includes:

increasing the number of samples when the signal measured is a long linear frequency sweeping signal.