This invention is in the field of motion compensation of radar returns for use with Synthetic Aperture Radar imaging.
Synthetic Aperture Radar (SAR) radar is used for ground mapping as well as target identification. The general principle behind SAR is to coherently combine the amplitude and phase information of radar returns from a plurality of sequentially transmitted pulses from a relatively small antenna on a moving platform.
The plurality of returns creating a SAR image generated by the transmitted pulses along a known path of the platform make up a frame length. During the frame length, amplitude as well as phase information returned from each of the pulses, for each of many range bins, is preserved. The SAR image is formed from the coherent combination of the amplitude and phase of return(s) within each range bin, motion compensated for spatial displacement of the moving platform during the acquisition of the returns for the duration of the frame length.
The plurality of pulses transmitted during an SAR frame length, when coherently combined and processed, result in image quality comparable to a longer antenna, corresponding approximately to the “length” traveled by the antenna during the frame length.
The clarity of a SAR image is in many respects is dependent on the quality of the motion compensation applied to each radar return prior to SAR image computation. The SAR process depends on the coherent, phase accurate summing of radar returns. Slight deviations in the accuracy of the motion compensation of incoming pulses introduces distortions over the whole SAR image, reducing its utility.
Motion compensation for coherent combination of pulses is improved by a method for acquiring a synthetic aperture image of a scene using a radar system, said scene having one or more radar scatterers located on a horizontal, flat x, y plane, said radar system mounted on a moving platform moving at an angle Stilt with respect to said x, y plane, with a component of motion in a z direction, said z direction perpendicular to said x, y plane. The method comprises the steps of:
Said phase of said radar returns is adjusted by computing a nominal aircraft track xac,o(s)
xac,o(s)=s cos(θtilt){circumflex over (x)}+yac,oŷ+zac,o{circumflex over (z)}+s sin(θtilt){circumflex over (z)}
In the Drawing:
The present invention describes a method for motion compensating pulses for clearer SAR images.
One requirement of focusing the return forming a SAR image is the ability to locate a designated target with high accuracy, typically in geodetic coordinates of the earth: latitude, longitude and altitude. This process is called mensuration.
Motion compensation is the process of digital correction of radar phase error for each radar return in a SAR frame forming a SAR image due to non-linear or non-uniform aircraft motion, such as buffeting or pilot commanded maneuvers. Motion compensation is performed in the airborne processor on each radar return. The exact form of motion compensation depends on the method used to compile the SAR image from the radar returns. A popular algorithm is th Range Migration Algorithm (RMA), a convolutional algorithm. Another, more mature method is the Polar Format algorithm. RMA is preferred because it is better suited to many advanced image analysis techniques such as coherent change detection. One assumption in RMA is that the nominal flight path of the aircraft during the SAR frame is in a straight line parallel to the centerline of the scene being acquired. This condition is not necessarily true. The deviation from a parallel path influences a SAR image more negatively for long range maps at high squint angles.
This invention corrects radar returns for the case where aircraft motion is not parallel to the scene centerline.
For the method described herein, and shown in
The method herein compensates for non-parallel motion by resampling range measurements and resampling pulse to pulse times to render the data equivalent to a straight line, centerline-parallel path. The method is applicable to any SAR processing of the convolutional type.
There are two inputs and three outputs, typically to be used with the RMA focussing method. The two inputs are:
The three output are:
The three outputs are used by the aircraft internal SAR processor to adjust the phase of each (digitized) return.
For a better understanding of the algorithm, it is first presented under Baseline Condition where there is no tilt to the aircraft path with respect to the plane of the scene. That is, the aircraft carrying the imaging SAR radar is following a straight and level path, the path parallel to the plane of the scene and parallel to the centerline of the scene being acquired as a SAR image.
I. Baseline Condition
Aircraft ideal track is a straight line, the scene is flat, in a plane parallel to the flight track, as shown in
With these definitions, the nominal flight track of the aircraft is
xac,o(s)=s{circumflex over (x)}+yac,oŷ+zac,o{circumflex over (z)}
The target surface, or scene parametrization is:
xac,o=x{circumflex over (x)}+yŷ
The scene central reference point vector is
xo=xo{circumflex over (x)}+yoŷ+zo{circumflex over (z)}
The actual aircraft position is given by (xac, yac, zac)
The actual radar return from a target at location xT is
Aircraft position parameter is
Fast time scale factor
Range Offset
Ra is the initial range.
Best Approximation for phase adjustment for returns assuming straight and level platform (aircraft) track
Γ(xac,o(s), xT)=ei(SF
In
xac,o(s)=s cos(θtilt) i+Yac,oŷ+zac,o{circumflex over (z)}+s sin(θtilt){circumflex over (z)} (1)
Following the same steps as in the baseline, the aircraft position parameter s is given by:
Fast time Scale Factor is
Range offset is
Approximation of the ideal return is given by
Γ(xac,o(s),xT)=ei(SF
By applying the approximation of the ideal return in equation (5) to the digitized radar returns from the scene being imaged in the SAR processor, the returns will be phase corrected for the motion shown in
All references cited in this document are incorporated herein in their entirety by reference.
Although presented in exemplary fashion employing specific embodiments, the disclosed structures are not intended to be so limited. Although Stilt is shown for a climbing aircraft track 304, it also applies for a diving angle. Similarly, the same phase corrections apply for sonar returns, where typically a submarine is substituted for moving aircraft 302.
Those skilled in the art will also appreciate that numerous changes and modifications could be made to the embodiment described herein without departing in any way from the invention.
This application is a continuation in part of U.S. Patent and Trademark Office application Ser. No. ______, titled Conformal Range Migration Algorithm (CRMA) KARMA (03W138), as well as application Ser. No. ______, titled Mensuration for the Conformal Range Migration Algorithm.