Velocity extraction

• US 7,688,256 B2
• Filed: 06/21/2005
• Issued: 03/30/2010
• Est. Priority Date: 06/24/2004
• Status: Active Grant

• Current Assignee: BAE Systems Plc
• Original Assignee: BAE Systems Plc
• Inventors: Finch, Derek Geoffrey, Deakin, Anthony Michael
• Primary Examiner(s): Tarcza; Thomas H
• Assistant Examiner(s): Barker; Matthew M
• Application Number:
  US10/541,906
• Publication Number:
  US 20070013580A1
• Time in Patent Office: 1,743 Days
• Field of Search: 342/157.2, 342/194, 342159-164
• US Class Current: 342/160
• CPC Class Codes: G01S 13/225 with cyclic repetition of a non-uniform pulse sequence, e.g. staggered PRF
• CPC Class Codes: G01S 13/227 with repetitive trains of uniform pulse sequences, each sequence having a different pulse repetition frequency
• CPC Class Codes: G01S 13/24 using frequency agility of carrier wave
• CPC Class Codes: G01S 13/5246 post processors for coherent MTI discriminators, e.g. residue cancellers, CFAR after Doppler filters
• CPC Class Codes: G01S 13/726 Multiple target tracking
• CPC Class Codes: G01S 7/2886 using I/Q processing

Abstract

A method of extracting a radial velocity characteristic of a target from coherent pulse bursts comprising the steps of applying to data a ‘best fit’ model of the echo returns from a target in the presence of clutter to obtain a residue (error) value and minimising the error value by a predetermined method to give the best fit value for the target radial velocity. The method enables more information to be retrieved from coherent bursts than conventional methods and therefore greatly enhances performance of radiation pulse echo detection.

Claims

1. A method of extracting a radial velocity characteristic of a target from one or more coherent radiation pulse bursts comprising the steps of:

(a) receiving radiation echo returns of the pulse bursts from a remote scene;

(b) processing the received echo returns into in-phase (I) and quadrature (Q) components;

(c) measuring the I and Q components at intervals to provide sampled data;

(d) modelling the sampled data by applying a predetermined function comprising a helix;

(e) modifying the predetermined function based on phase and amplitude to optimize the fit to the sampled data as a function of velocity;

(f) determining the target radial velocity in relation to the pitch of the helix, and

(g) outputting the determined target radial velocity.

2. A method as claimed in claim 1 wherein step (e) comprises optimising the fit of the predetermined function to the sampled data in a least squares fashion.

3. A method as claimed in claim 1 wherein a model of clutter return is provided for use in steps (d) and (e).

4. A method as claimed in claim 3 wherein the model of clutter return is a low order polynomial function in I and Q.

5. A method as claimed in claim 1 further comprising the step of extracting target amplitude from the sampled data in dependence upon said modified predetermined function.

6. A method as claimed in claim 1 further comprising the step of extracting range ambiguity from the sampled data in dependence upon said modified predetermined function.

7. A method as claimed in claim 1 further comprising the step of extracting target azimuth from the sampled data in dependence upon said modified predetermined function.

8. A method as claimed in claim 1 wherein the echo returns are measured at non-equi-spaced intervals.

9. A method as claimed in claim 1 wherein the pulse bursts are transmitted at a frequency which is changed between successive pulses.

10. A method as claimed in claim 9 wherein each pulse burst consists of multiple pulses transmitted at non-constant pulse repetition interval bursts.

11. A method as claimed in claim 9 wherein the pulse bursts are internally coherent and mutually incoherent.

12. A method as claimed in claim 1 further comprising the step of carrying out conventional Moving Target Indication/Moving Target Detection filtering and target detection before applying a predetermined function, as in step (d), to the I-Q returns.

13. A method as claimed in claim 1 further comprising the step of extracting target amplitude from the sampled data, the target amplitude being extracted in relation to a radius of the helix.

14. A method according to claim 1 comprising the use of a plurality of coherent radiation pulse bursts, the method further comprising the step of estimating target range ambiguity by modifying the predetermined function based on an assumption that one or more initial echo returns do not lie on the helix.

15. A method according to claim 14 further comprising the step of extracting an ambiguity order based on the number of first received pulse signals lying on the axis of the helix.

16. A method according to claim 1 wherein said remote scene comprises a target together with clutter and the sampled data relates to the sample and clutter.