PHASE I Develop strategies and algorithms which may be based on existing

Phase i develop strategies and algorithms which may

This preview shows page 193 - 195 out of 295 pages.

PHASE I: Develop strategies and algorithms, which may be based on existing algorithms, to attenuate interferences in scenarios similar to the one described in the description. For example, one potential wideband adaptive approach to counter interferences with varying bandwidth is to partition the received signal into multiple narrowband channels and then apply conventional narrowband adaptive processing techniques on these narrowband channels. It is expected that the contractor will rigorously simulate the proposed algorithms in Matlab for selected scenarios to demonstrate algorithm performance; extend the analysis to develop, demonstrate and utilize state-of-the-art hardware that can improve the interference mitigation performance of the algorithms developed in this phase. PHASE II: Expand the work in phase I to include: algorithm fine tuning for performance and algorithm refinement into a form that is suitable for implementations in high speed FPGAs; derive theoretical performance bounds for various system parameters; and if available, test simulated algorithm using real data; demonstrate the feasibility of implementation by programming the algorithm into a state-of-the-art commercially available FPGA demonstration board and determine its performance in such an environment. The Phase II deliverables shall include the following: AF - 193
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a detailed mathematical description of the algorithm; characterization of the theoretical and simulated performance of the algorithm; a state-of-the-art commercially available FPGA demonstration board with the proposed algorithm implemented in its firmware; test results and comparison of measured versus simulated performance of the algorithm over a bandwidth-to-center frequency ratio of 0.2 or greater, as described above. DUAL USE COMMERCIALIZATION: Military application: The new tools and approaches developed under this effort will be directly applicable to current and future military surveillance systems. In addition, the commercial industry is interested in developing adaptive signal processing techniques to mitigate non-intended jamming. REFERENCES: 1. "Quantitative testing research of surveillance radar anti-jamming performance" by Shen Gui-ming; Zhu Wei-hua; Radar, 2001 CIE International Conference on, Proceedings , 15-18 Oct. 2001 Pages:255 - 259 2. "Blind source separation used for radar anti-jamming" by Gaoming Huang; Luxi Yang; Guoqing Su; Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on , Volume: 2 , 14-17 Dec. 2003 Pages:1382 - 1385 Vol.2 3. "Analysis of terrain scattered interference-mitigation" by Nelander, A.; Radar Conference, 2004. Proceedings of the IEEE , 26-29 April 2004 Pages:414 – 419 4. "Signal processing algorithms for adaptive interference suppression" by Poor, H.V.; Circuits and Systems, 1998.
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