Abstract: A method is disclosed for augmenting the SBR model used in EM field simulation by modeling the specular coherent and diffuse incoherent components of the field scattered by rough surfaces using statistical characteristics of surface roughness. For each projected ray-tube footprint, the magnitude of the coherent radiated field is attenuated with a scalar factor, while the incoherent radiated field is modulated by a random magnitude and phase. Both corrections are based on the statistical characteristics of surface roughness. Multiplying the incoherent field with a randomly generated phase renders it in a mathematically coherent form, which allows the method to generate a statistically viable instance of the total (i.e. coherent plus incoherent) field scattered by a rough surface. The results reproduce the field and power statistics (i.e. mean and variance) observed from direct SBR simulations using an ensemble of explicitly rendered rough surface geometry models, with a significant reduction in computation.

Abstract: A method is disclosed for augmenting the SBR model used in EM field simulation by modeling the specular coherent and diffuse incoherent components of the field scattered by rough surfaces using statistical characteristics of surface roughness. For each projected ray-tube footprint, the magnitude of the coherent radiated field is attenuated with a scalar factor, while the incoherent radiated field is modulated by a random magnitude and phase. Both corrections are based on the statistical characteristics of surface roughness. Multiplying the incoherent field with a randomly generated phase renders it in a mathematically coherent form, which allows the method to generate a statistically viable instance of the total (i.e. coherent plus incoherent) field scattered by a rough surface. The results reproduce the field and power statistics (i.e. mean and variance) observed from direct SBR simulations using an ensemble of explicitly rendered rough surface geometry models, with a significant reduction in computation.

Abstract: A method for building a coherent radar cross-section (RCS) model database for real-time dynamic simulation of range-Doppler radars is disclosed. The database may be used with radar sensors that employ different waveforms. A pre-processing operation before the dynamic simulation performs fast Fourier Transforms (FFTs) to interpolate the target frequency responses from the database to match the frequency samplings of the radar used in the dynamic simulation. The method determines the frequency responses of the targets to a reference chirp in a coherent processing interval (CPI) and the radial velocities of the targets relative to the radar at the time of the reference chirp. The method extrapolates, using FFTs, the frequency responses of the targets to the reference chirp across the velocity dimension based on the relative radial velocities to determine the frequency responses of the targets to the other chirps across the CPI, reducing the computational burden for the simulation.

Abstract: A method for building a coherent radar cross-section (RCS) model database for real-time dynamic simulation of range-Doppler radars is disclosed. The database may be used with radar sensors that employ different waveforms. A pre-processing operation before the dynamic simulation performs fast Fourier Transforms (FFTs) to interpolate the target frequency responses from the database to match the frequency samplings of the radar used in the dynamic simulation. The method determines the frequency responses of the targets to a reference chirp in a coherent processing interval (CPI) and the radial velocities of the targets relative to the radar at the time of the reference chirp. The method extrapolates, using FFTs, the frequency responses of the targets to the reference chirp across the velocity dimension based on the relative radial velocities to determine the frequency responses of the targets to the other chirps across the CPI, reducing the computational burden for the simulation.

Abstract: A method for building a coherent radar cross-section (RCS) model database for real-time dynamic simulation of range-Doppler radars is disclosed. The database may be used with radar sensors that employ different waveforms. A pre-processing operation before the dynamic simulation performs fast Fourier Transforms (FFTs) to interpolate the target frequency responses from the database to match the frequency samplings of the radar used in the dynamic simulation. The method determines the frequency responses of the targets to a reference chirp in a coherent processing interval (CPI) and the radial velocities of the targets relative to the radar at the time of the reference chirp. The method extrapolates, using FFTs, the frequency responses of the targets to the reference chirp across the velocity dimension based on the relative radial velocities to determine the frequency responses of the targets to the other chirps across the CPI, reducing the computational burden for the simulation.

Abstract: A method is disclosed for augmenting the SBR model used in EM field simulation by modeling the specular coherent and diffuse incoherent components of the field scattered by rough surfaces using statistical characteristics of surface roughness. For each projected ray-tube footprint, the magnitude of the coherent radiated field is attenuated with a scalar factor, while the incoherent radiated field is modulated by a random magnitude and phase. Both corrections are based on the statistical characteristics of surface roughness. Multiplying the incoherent field with a randomly generated phase renders it in a mathematically coherent form, which allows the method to generate a statistically viable instance of the total (i.e. coherent plus incoherent) field scattered by a rough surface. The results reproduce the field and power statistics (i.e. mean and variance) observed from direct SBR simulations using an ensemble of explicitly rendered rough surface geometry models, with a significant reduction in computation.

Abstract: A method for building a coherent radar cross-section (RCS) model database for real-time dynamic simulation of range-Doppler radars is disclosed. The database may be used with radar sensors that employ different waveforms. A pre-processing operation before the dynamic simulation performs fast Fourier Transforms (FFTs) to interpolate the target frequency responses from the database to match the frequency samplings of the radar used in the dynamic simulation. The method determines the frequency responses of the targets to a reference chirp in a coherent processing interval (CPI) and the radial velocities of the targets relative to the radar at the time of the reference chirp. The method extrapolates, using FFTs, the frequency responses of the targets to the reference chirp across the velocity dimension based on the relative radial velocities to determine the frequency responses of the targets to the other chirps across the CPI, reducing the computational burden for the simulation.