Phase Tracking With a Cognitive Antijam Receiver System (CARS)
Existing Anti-Jam (AJ) and interference mitigation techniques are based on the assumption that the nature of interference is known a-priori. Generally, one or more Fixed Anti-Jam Techniques (FATs) are applied to reduce the impact of the jammer or interferer to a receiver. A more general approach is to apply cognitive radio technology, whereby the receiver's AJ processing and receiver processing adapt to the incoming interference, in an approach known as a Cognitive Anti-jam Receiver System (CARS). Code and carrier tracking can be quite challenging when the presence of interference is significant. In this paper, the authors will study the problem of carrier and code tracking under these conditions and show how a CARS mitigation approach can benefit overall performance.