Mobile sense through the wall radar system

• US 20110025546A1
• Filed: 08/03/2009
• Published: 02/03/2011
• Est. Priority Date: 08/03/2009
• Status: Active Grant

• Current Assignee: Raytheon Company (Rtx Corporation)
• Original Assignee: Raytheon Company (Rtx Corporation)
• Inventors: Lee, Michael D., Cook, Carl D., Adcook, Scott E., Ghebranious, Mena J.
• Granted Patent: US 8,169,362 B2
• Time in Patent Office: Days
• US Class Current: 342/22
• CPC Class Codes: G01S 13/534 based upon amplitude or phase shift resulting from movement of objects, with reference to the surrounding clutter echo signal, e.g. non coherent MTi, clutter referenced MTi, externally coherent MTi
• CPC Class Codes: G01S 13/536 using transmission of continuous unmodulated waves, amplitude-, frequency-, or phase-modulated waves
• CPC Class Codes: G01S 13/888 through wall detection
• CPC Class Codes: G01S 7/2923 based on data belonging to a number of consecutive radar periods

Abstract

A method and apparatus for sensing a target through a wall or obstruction by a Moving Target Indicator (MTI) radar sensor. In an exemplary embodiment, a series of radar pulses are transmitted at frequencies less than about 5 GHz. Radar return signals are received at a plurality of receive antenna array subapertures. The radar return signals are processed by a digital beamformer to form multiple beams. Target detection processing detects moving and stationary targets through a plurality of parallel target detection signal processing paths.

Claims

1. A method for sensing a target through a wall or obstruction by a Moving Target Indicator (MTI) radar sensor and including a transmitter and a receiver, comprising:

transmitting a series of radar pulses at frequencies less than about 5 GHz;

receiving radar return signals from a plurality of receive antenna array subapertures;

processing the radar return signals from each of the plurality of receive antenna subapertures in respective receive channels each corresponding to a respective receive antenna subaperture to;

digitize analog radar return signals and provide complex time samples of the radar return signals;

process the complex time samples by a digital beamformer to form multiple beams;

process the beamformer outputs through a complex FFT processor to provide a range matrix map of clutter and targets for each channel;

process a time series of range matrix maps comprising a coherent processing interval through a Doppler compression function to provide range-Doppler maps indicating moving target velocities at each range;

performing target detection processing on the outputs of the Doppler compression function for each channel to detect moving and stationary targets through a plurality of parallel target detection signal processing paths, to provide target detection signals representing detected moving and stationary targets and their range and angular location; and

providing the target detection signals to an operator interface.

2. The method of claim 1, wherein said target detection processing comprises estimating an angular location by measuring a phase difference between a plurality of channel subapertures formed by the digital beamformer using a phase monopulse angle estimator.

3. The method of claim 1, wherein a first one of said target detection signal processing paths provides detection of human walking targets.

4. The method of claim 3, wherein said first one of said target detection signal processing paths is configured to identify walking targets in range based on Doppler filter amplitudes in each channel using an adaptive detection threshold.

5. The method of claim 4, wherein said first one of said target detection signal processing paths is configured to:

excise Doppler cells around zero hertz containing stationary clutter signals;

sum energy in remaining Doppler filters at each range bin;

detect targets in each channel by determining Doppler energy peaks in each range bin;

sending the detected targets in each channel to a phase monopulse angle estimator to determine estimated target angular locations for each target;

sending estimated range and angle information of detected walking targets to a Kalman filter for target tracking.

6. The method of claim 5, wherein said detecting targets in each channel comprises centroiding each detected target to a single range-Doppler cell.

7. The method of claim 3, wherein a second one of said target detection signal processing paths provides detection of human targets that exhibit very small and involuntary motion consistent with standing or sitting in one spot.

8. The method of claim 7, wherein said second one of the target detection signal processing paths is configured to detect targets with radial velocities very near zero Hz, and comprises filtering said range-Doppler maps using a Finite Impulse Response (FIR) high pass filter;

and

applying a plurality of different detection processes specific to different observed target characteristics in the change detection map and in the correlation coefficients of the change detection map.

9. The method of claim 8, wherein said applying a plurality of different detection processes comprises applying a first detection process configured to detect slowly moving targets.

10. The method of claim 8, wherein said applying a plurality of different detection processes comprises applying a second detection process configured to detect intentionally still human targets.

11. The method of claim 8, wherein said applying a plurality of different detection processes comprises applying a third detection process configured to detect a stationary human target that is exhibiting some voluntary motion of torso, head, arms or legs and is located in a high multi-path environment.

12. The method of claim 1, wherein said transmitting a series of radar pulses comprises transmitting a pulse group of chirped pulses at a pulse group repetition rate, and wherein the transmitter and receiver are powered down during intrapulse periods between the pulse groups.

13. The method of claim 1, further comprising:

determining whether high levels of RF interference exists in an operating environment which would compromise performance of the MTI sensor.

14. The method of claim 13, wherein said determining whether high levels of RF interference exist comprises:

operating the sensor in a receive only mode;

processing signals from one of the receiver channels in a complex FFT processor to form a range matrix map;

performing a two-dimensional FFT using the range matrix map to form a range-Doppler map;

applying a fixed threshold detection for each range-Doppler map to test for noise and interference levels that would compromise performance of the MTI sensor.

15. The method of claim 13, further comprising:

processing RF interference signals to determine range-Doppler cells with interference and to terminate target tracks that correspond to compromised areas of a range-Doppler map.

16. The method of claim 1, wherein the MTI sensor is a hand-held device.

17. The method of claim 1, wherein the MTI sensor is mounted on a vehicle.

18. A portable hand-held Moving Target Indicator (MTI) radar sensor for sensing a target through a wall or obstruction, comprising:

a transmitter for transmitting a series of radar pulses at L-band or S-band;

an antenna array including a transmit subaperture coupled to the transmitter and a plurality of receive subapertures;

a radar receiver responsive to radar return signals from each of the plurality of receive subapertures for generating time domain signals representative of radar return signals in a plurality of receiver channels;

an operator interface including a display;

a radar signal processor configured to process the radar return signals from each of the plurality of receive subapertures in the respective receiver channels, the processor configured to;

digitize analog radar return signals and provide complex time samples of the radar return signals;

process the complex time samples by a digital beamformer to form multiple overlapping beams spaced across the radar field of view;

process the beamformer outputs through a complex FFT processor to provide a range matrix map of clutter and targets for each channel;

process the range matrix maps through a Doppler compression function over multiple range matrix maps comprising a coherent processing interval to provide range-Doppler maps indicating moving target velocities at each range;

perform target detection processing on the output of the Doppler compression function for each channel to detect walking and stationary targets through a plurality of parallel target detection signal processing paths, to provide target detection signals representing detected walking and stationary targets and their range and angular location; and

provide the target detection signals to the operator interface.

19. The sensor of claim 18, wherein the processor further includes a phase monopulse angle estimator to estimate angular locations of detected targets.

20. The sensor of claim 18, wherein the radar processor further comprises:

an RF interference detector for detecting RF interference in an operating environment which would compromise performance of the sensor, the interference detector operating in a receive-only mode of the sensor.

21. The sensor of claim 20, wherein the RF interference detector further comprises:

a processor for processing RF interference signals to determine range-Doppler cells with interference and to terminate target tracks that correspond to compromised areas of a range-Doppler map.