IP Library › Granted Patent US 12,320,923
Granted Patent B2
US 12,320,923 · App. 18/071,774 · Granted Jun 3, 2025

Radar detection of migrating targets using signal convolution and interference correlation matrices

Inventor: Terry Lee Foreman (Colonial Beach, VA)
Assignee: United States of America, as represented by the Secretary of the Navy
G01S7/414G01S7/023G01S7/354G01S7/415
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,320,923
App. No.
18/071,774
Filed
Nov 30, 2022
Granted
Jun 3, 2025
Kind
B2
Art Unit
2825
USPC
342/159
Abstract

A computer-implemented method for detecting a target amidst clutter by a radar system able to transmit individual electromagnetic signals, wherein a sequence of the transmit signals are sent from first to last on separate transmit antennae, receive the signals reflected off the target and the clutter, and process the received signals. The method includes determining a baseband signal for each of the transmit signals; calculating a signal convolution matrix for each of the transmit signals; estimating a clutter amplitude for each range cell; calculating a clutter correlation matrix for the clutter; determining a noise variance for the transmitted signals; calculating an interference correlation matrix for the transmit signals; and forming a target detector for the radar system. The target detector for the radar system further includes sequentially processing the reflection signals, rejecting cross talk from the clutter correlation matrix, and increasing a signal-to-interference ratio, thereby optimizing the detectability of the target.

Claims (21)

1. A computer-implemented method for detecting a target amidst clutter by a radar system able to transmit a plural sequence of electromagnetic transmit signals from first to last on at least one transmit antennae, receiving a plurality of reflection signals from said target and said clutter within a plurality of range cells, and processing said plurality of reflection signals, said method comprising:

determining a baseband signal for each of the transmit signals of the plural sequence;

calculating a signal convolution matrix for said each of the transmit signals;

estimating a clutter amplitude for each range cell within the plurality of range cells using modeling estimations;

calculating a clutter correlation matrix for the clutter in the plurality of reflection signals;

determining a noise variance for the transmit signals in the plural sequence;

calculating an interference correlation matrix for the transmit signals in the plural sequence; and

forming a target detector for the radar system, said forming operation further including:

sequentially processing the plurality of reflection signals,

rejecting cross talk from said clutter correlation matrix between the plurality of reflection signals, and

increasing a signal-to-interference ratio for said target detector, thereby optimizing detectability of the target.

2. The method according to claim 1 , wherein said modeling estimations further include: at least one of the Littoral Clutter Model and the clutter mapping method.

3. The method according to claim 1 , wherein the transmit signals are transmitted per separate transmit antennae.

4. The method according to claim 1 , wherein said developing of signal and interference models further includes:

determining said baseband signal for each of the transmit signals by identifying frequencies of the transmitted signals before modulating the transmit signals to higher frequencies;

determining said signal convolution matrix for the transmit signals by utilizing the baseband samples to re-orient the plurality of reflection signals for processing by said target detector;

estimating an amplitude of the clutter from the plurality of reflection signals;

determining said clutter correlation matrix from said amplitude of the clutter and noise variance from the transmit signals;

determining said interference correlation matrix for the transmit signals using values gathered from the clutter; and

forming said target detector for the radar system.

5. The method according to claim 1 , wherein said each of the transmit signals includes a long pulse followed by a short pulse.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2023
From: FOREMAN, TERRY LEE, DR
To: UNITED STATES OF AMERICA
Reel/Frame 065217/0162 →
Continuity (2)
Continuation In Part 16916525 · Jun 30, 2020
Related Publication 20240168129A1 · May 23, 2024
References Cited (8)
US 6252540B1 · Hale et al. · 2001 [cited by applicant]
US 9857455B2 · Foreman · 2018 [cited by applicant]
US 20060273951A1 · Adams et al. · 2006 [cited by applicant]
US 20120320363A1 · Goodman · 2012 [cited by applicant]
US 20210223385A1 · Breton et al. · 2021 [cited by applicant]
US 20220091232A1 · Foreman · 2022 [cited by applicant]
US 20230394691A1 · Guizilini · 2023 [cited by examiner]
L. Maślikowski “Calibration of MIMO Radar Transmitting and Receiving Array Using Sene Object Measurement” Remote Sens. 14m 3573 (2022). [cited by applicant]
Cited By (1)
US 12,535,569