Robust Adaptiive Coder for Optimizing Error Detection/Correction

MDA requires optimized error detection/correction methods that permit highly-robust communication in nuclear or jamming environments. In this proposal, Broadata Communication Inc (BCI) proposes a unique Adaptive Trellis/Turbo Coding with 8-DPSK(Differential Phase Shift Keying), or ATT-D scheme that will significantly outperform the traditional coding schemes in a severe fading channel scheme. The ATT-D is a combined coding and modulation technique that uses signal-set expansion to provideredundancy for coding. The ATT-D can achieve significant coding gain without sacrificing data rate or requiring more bandwidth. To increase the bit error rate performance while maintaining the same bandwidth requirement, the ATT-D further uses adaptivelinear prediction. Using the recursive least-square algorithm, the prediction coefficient can be adapted to changing channel condition. By combining the Trellis coding scheme with the Turbo coder, the proposed ATT-D system will have a robust performance inboth low SNR (signal to noise ratio) and high fading channels. The superior performance of this system has been demonstrated with preliminary simulation results. A software demonstration will be fully conducted and the results will be demonstrated upon thecompletion of the Phase I project to show the feasibility and potential of the proposed ATT-D for MDA applications. In addition to MDA's In-Flight Interceptor Communications System (IFICS) application , this technology is also applicable for manymilitary, real-time, sensor data collection/processing operations and mission critical military/government communication network applications. The proposed technology is also applicable to any commercial network applications that can benefit from robustmission critical multimedia networks. Potential applications include, but are not limited to, robust commercial airline communications, collaborative security networks, robust interactive wireless network operations, and remote crisis management networks.