GOAA: Game-theoretic Optimal Acquisition to Enhance Anti-Jam for Low SWaP-C MGUE

Anti-jam (AJ) research and products for GPS User Equipment (UE) have largely focused on high-performance systems like adaptive antenna systems for nearly three decades. Although these advanced antenna systems did improve the AJ performance, they may not be operationally suitable for military applications and equipment with low Size, Weight, Power, and Cost (SWaP-C) requirements. For example, handheld receivers, very small unmanned aerial/ground vehicles, and diver underwater navigation systems may have difficulties in adapting the adaptive antenna systems because of the array size, high cost, and computational complexity. The goal of this SBIR is to develop and evaluate signal processing approaches and algorithms to enhance AJ for Military GPS User Equipment (MGUE) with significant SWaP-C limitations.  The expected improvement is at least 20 dB (30 dB objective) over the current AJ performance specified for the MGUE Increment 1 ground-based receiver in the presence of both narrowband and broadband jammers. In this proposal, we seek to enhance the AJ via game-theoretic optimal acquisition with the SWaP-C requirements in the cost functions. The proposed GOAA will select proper acquisition algorithms to maintain the carrier and code synchronization between local signal and received M-code signals.