You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
23 April 2010Fast methods for computing scene raw signals in millimeter-wave sensor simulations
Modern millimeter wave (mmW) radar sensor systems employ wideband transmit waveforms and
efficient receiver signal processing methods for resolving accurate measurements of targets
embedded in complex backgrounds. Fast Fourier Transform processing of pulse return signal
samples is used to resolve range and Doppler locations, and amplitudes of scattered RF energy.
Angle glint from RF scattering centers can be measured by performing monopulse arithmetic on
signals resolved in both delta and sum antenna channels. Environment simulations for these sensors
- including all-digital and hardware-in-the-loop (HWIL) scene generators - require fast, efficient
methods for computing radar receiver input signals to support accurate simulations with acceptable
execution time and computer cost. Although all-digital and HWIL simulations differ in their
representations of the radar sensor (which is itself a simulation in the all-digital case), the signal
computations for mmW scene modeling are closely related for both types. Engineers at the U.S.
Army Aviation and Missile Research, Development and Engineering Center (AMRDEC) have
developed various fast methods for computing mmW scene raw signals to support both HWIL scene
projection and all-digital receiver model input signal synthesis. These methods range from high
level methods of decomposing radar scenes for accurate application of spatially-dependent nonlinear
scatterer phase history, to low-level methods of efficiently computing individual scatterer
complex signals and single precision transcendental functions. The efficiencies of these
computations are intimately tied to math and memory resources provided by computer architectures.
The paper concludes with a summary of radar scene computing performance on available computer
architectures, and an estimate of future growth potential for this computational performance.
The alert did not successfully save. Please try again later.
Richard F. Olson, Terry M. Reynolds, H. Dewayne Satterfield, "Fast methods for computing scene raw signals in millimeter-wave sensor simulations," Proc. SPIE 7663, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing XV, 76630L (23 April 2010); https://doi.org/10.1117/12.853466