The development of advanced time-frequency signal processing techniques and real-time implementation schemes with high-speed DSP chips is proposed, leading to a new generation of high-performance GPS receivers. A unique frequency-domain GPS receiver architecture is set forth, into which the… More

A GPS-based scoring system for tactical missile tests is proposed in this project. The accuracy and data rate requirements for tactical missile scoring will be established based on an analysis of a wide range of air-to-air and/or air-to-surface engagement scenarios. The real-time dynamic processing… More

We propose to continue our Phase I effort in Phase II by implementing the GPS anti-jam attitude-capable adaptive antenna technology into a C/A-code prototype and a P-code software development toolkit with an extension to the new M-code. The hardwareprototype will consist of an array antenna, RF… More

We propose to continue our Phase I effort in Phase II by implementing the GPS anti-jam attitude-capable adaptive antenna technology into a C/A-code prototype and a P-code software development toolkit with an extension to the new M-code. The hardwareprototype will consist of an array antenna, RF… More

We propose to apply two nonlinear filtering techniques, namely, the unscented Kalman filter and the particle filter, to the tracking of multiple ground targets in clutter. Both the target dynamics and radar measurements are highly nonlinear. Instead of truncating the nonlinear functions to the first… More

We propose to develop a frequency-domain GPS software radio receiver based on our patented architecture and algorithms with real-time FPGA implementation. The frequency-domain approach directly manipulates GPS signal and correlation spectra to achieve the joint estimation of code phase, carrier… More

We propose to develop and apply an unscented particle filter for Global Positioning System (GPS) operations to improve Control Segment (CS) estimation and short-term prediction. GPS satellite orbital dynamics and GPS measurements are highly nonlinear. In the current implementation of GPS CS, both… More

We propose to develop two unconventional techniques to estimate multipath signals and to mitigate their effects on GPS code and carrier measurement accuracy. These two techniques can be applied separately and/or in combination to individual GPS signals and/or to several GPS signals jointly. The… More

We propose to continue our Phase I efforts by demonstrating the class of hybrid Kalman particle filters (HKPF) for tracking ground targets on road in Phase II. In the proposed formulation, the road network is represented with one-dimensional (1D) models. This 1D modeling simplifies the target… More

We propose to continue our Phase I efforts by demonstrating the full potential of the nonlinear filters for GPS OCS precision estimation in Phase II. The demonstration will be carried out in a more realistic computer simulated software environment. We also plan to use the recommended architecture… More

We propose to develop a tracking performance self-determination methodology with which a tracker can assess its operational conditions and predict its performance. With the self-determined performance metrics, a sensor resource manager can efficiently reroute or reschedule the radar activities so as… More

We propose an advanced GPS solution for software defined radios (SDR) for military users. Different from conventional software GPS receivers that merely mimics what a hardware receiver does, the proposed GPS solution sets forth advanced signal processing techniques along the signal and data… More

We propose to continue our Phase I efforts by demonstrating the benefits of active management of distributed sensors and their tracking and fusion algorithms using on-line performance monitoring and prediction in Phase II. A bottom-up approach is set forth along the signal and data processing chain… More

We propose to develop a cooperative handheld location device (CHLD) using signals of opportunity (SOOP) to complement and substitute GPS wherever the latter becomes unavailable. Examples of signals of opportunity include the field and/or segment sync codes in digital radio transmissions (e.g.,… More

We propose to develop an enabling technology for indoor mapping and geolocation based on innovative integration of cooperative simultaneous location and mapping (SLAM) and network exploitation of signals of opportunity (SOOP) technology (NEST). The SLAM is an emerging technology that enables a… More

We propose to develop a universal interface for flexible integration of a variety of aiding sensors with an inertial navigator toward plug-and-play navigation. In this multi-sensor fusion approach, a self-contained inertial navigator operates as a core sensor, which is assisted by secondary aiding… More

We propose to continue our Phase I efforts by demonstrating the cooperative position location using mixed signals of opportunity in Phase II. Mixed signals of opportunity include broadcast signals (e.g., AM/FM radio and digital television) and communication signals (e.g., cellular network and… More

In Phase I, our research team set forth an innovative design of and enabling techniques for universal plug and play navigation (UPNAV) that reconfigures itself on-the-fly as aiding sensors are connected to and disconnected from the system without the need for system redesign and software… More