542
JPL SAR PROCESSOR DEVELOPMENT IN
SUPPORT OF FLIGHT MISSIONS
Chialin Wu
Jet Propulsion Laboratory
California Institute of Technology
Pasadena, CA 91109, USA
Commission II, ISPRS
Abstract
This paper presents an overview of Synthetic Aperture Radar (SAR) signal
processor development activities at the Jet Propulsion Laboratory (JPL) in
support of NASA sponsored airborne and spaceborne SAR flight missions. The
processors being developed include both computer software oriented and
special-purpose hardware systems. The contents of the paper include a
summary of the anticipated missions, functional specifications and descriptions
of the associated processors, and a few related issues.
1I. ‘Introduction
Synthetic Aperture Radar (SAR) signal processing for image formation is one
of the key steps in operating an end-to-end SAR sensor and data system.
Unlike an optical imaging device where the sensor acquired raw data may
already be in image form, micro-wave imaging sensor like a SAR acquires raw
data in a form resembling a holographic representation of the target scene.
The raw data must go through an extensive amount of processing to forma
product that is in a conventional and interpretable image format.
The arithmetic processsing to reduce SAR raw data into imagery can further
be complicated by a number of factors that are peculiar in each SAR flight
mission. These factors include the choice of radar frequencies, tolerance
of sensor attitude and altitude uncertainties, experiment objectives, etc.
The processor implementation on one hand must be an integrated part of the
sensor system design such that the method to accommodate mission peculiarities
would be handled from an overall system optimization point of view. It is
equally important on the other hand that the processor's performance is
compatible to real users' needs in terms of data quality and output speed.
JPL's on-going SAR processor development activities can be categorized into
those that are supporting current missions, and those for future anticipated
missions. Current missions include the CV-990 Aircraft flights and Shuttle
Imaging Radar-B (SIR-B) Experiment. Functional requirements for the associated
SAR processors are well defined. For some of the future missions, which
include Venus Radar Mapper, SIR-C Experiment, etc., some assumptions on data
parameters have to be made. One important objective for the research and
development on the SAR processor is to also demonstrate the feasibility of
SAR signal processing at a very high rate -- near real-time data acquisition
speed. This processing throughput rate is required for the ultimate goal of
real-time SAR applications in environment monitoring. It also serves a near
term significance of further ensuring that users needs for image products
can be met in a timely manner. A programmatic overview of those ongoing SAR
processor development activities will be given in the next part of this
paper.