摘要:
An unmanned maritime vehicle includes a hull, a propulsion system carried by the hull, vehicle sensors carried by the hull, a wireless transceiver carried by the hull, and a controller coupled to the wireless transceiver, the vehicle sensors, and the propulsion system. The controller is configured to implement an inference engine and a knowledge base to define an expert system generating a recommended water navigational action based upon a set of water navigational rules and inputs from the vehicle sensors.
摘要:
The present disclosure presents a predictive signal producing method that effectively levels transmitter output power in a multi-carrier communication system and results in approaching amplifier performance normally associated with constant carrier waveforms. Embodiments of the disclosed solution offers >10 dB reduction in the peak-to-average power required to support the transmission of, for example, orthogonal frequency division modulation (“OFDM”) modulation techniques. Embodiments of the novel system and method maximize peak-to-average power ratio (“PAPR”) reduction with selective mapping and soft clipping, which may include filtering, combined. This novel approach also minimizes overhead, bit error rate, retransmissions, and increases latency as well as implementing processing cycles with a number of iterations. The disclosed system and method improves the total system DC power efficiency and provides an optimal solution for PAPR reduction in multi-carrier communication systems such as, for example, OFDM.