Intelligent radar sensing
The intelligent radio and radar sensor (IRRS) is a concept for future detection-localization-communication system with the following defined characteristics:
- Dual-polarized antenna array and integrated transceivers
- Laboratory electromagnetic modeling and scatterometer instrumentations
- Physics and Knowledge-Based signal processing
- Hybrid and multifunctional radar and communication system for aviation
The focus of this program is small, low cost and multifunctional radar sensors on mobile platforms. Currently we are working on airborne mixed hazard detection, analysis and avoidance as an illustration of the intelligent radar concept. The airborne radar will be able to analyze both weather hazards and air-traffics, it can also interpret the airspace it operates in. more.....
Random signal and low-probability-of-intercept (LPI) radar
Our work for random signal radar is for (a) Setup the theoretical basis about wideband random signal propagation, scattering and its interaction with microwave circuit components (b) Develop the optimal signal processing algorithms for detection, tracking and clutter rejection (c) Building and testing actual radar system mainly for fast-detection, tracking and hazard avoidance.
We have developed a mixed-signal open architecture for LPI radars including random signal radars, also, by combining with other techniqies such as super-regenerative array for ultra-fast processing, we are in the process of demonstrating random signal radar's performance in new applications. more...
Real-time digital data management
As digital receivers and processors being used widely in array-radar system. We are actually facing bigger challenges to synchronize and transport them. The goal of this thrust is developing a true low-cost, scalable digital signal management technology used in massive data processing architectures as in multifunctional phased array radar with digital receivers. Good protocol (i.e., RapidIO), good physical design (signal integrity) and good pre-processing (digital filtering) are three key elements in this, our study include
- Algorithm-protocol analysis and program design
- Using XIlinx FPGA for hardware implementations
- Using soft-core embedded processors in FPGA for re-configurable system
- Using DSPs for real-time computing and data transfer
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