Tracking Filters for Radar Systems with Correlated Measurement Noise

Radar Measurement and Tracking

While radar search and target detection are essential to radar use, most applications also require measurement of target characteristics. These may include target position and velocity, as described in Sections 8.1 through 8.3, and indicators of target size, shape and rotation, as described in Section 8.4. The use of multiple radar to improve measurement accuracy is discussed in Section 8.5. Co...

Robust Wiener filters for random signals in correlated noise

Random Noise Monopulse Radar System for Covert Tracking of Targets

The University of Nebraska is currently developing a unique monopulse radar concept based on the use of random noise signal for covert tracking applications. This project is funded by the Missile Defense Agency (MDA). The advantage of this system over conventional frequency-modulated continuous wave (FMCW) or short pulse systems is its covertness resulting from the random waveform’s immunity fr...

Design of robust carrier tracking systems in high dynamic and high noise conditions, with emphasis on neuro-fuzzy controller

The robust carrier tracking is defined as the ability of a receiver to determine the phase and frequency of the input carrier signal in unusual conditions such as signal loss, input signal fading, high receiver dynamic, or other destructive effects of propagation. An implementation of tight tracking can be understood in terms of adopting a very narrow loop bandwidth that contradict with the req...

Population coding in neuronal systems with correlated noise.

Neuronal representations of external events are often distributed across large populations of cells. We study the effect of correlated noise on the accuracy of these neuronal population codes. Our main question is whether the inherent error in the population code can be suppressed by increasing the size of the population N in the presence of correlated noise. We address this issue using a model...