Abstract: A frequency hopping signal receiving system comprising: a receiver for extracting discrete-time samples from the signal; a memory connected to the receiver for storing the extracted discrete-time samples from the signal; at least one processor operatively connected to the memory for: determining a state-space vector that captures relevant information to describe the dynamics of the signal; selecting a parameter to represent the probability of hopping associated with the signal; generating particle filters to estimate unknown parameters in the state-space vector based upon the extracted discrete-time samples by generating random particles that approximate the filtering distribution having importance weights; specifying the importance function in closed-form in a convenient mixture representation, which enables drawing particles and updating the importance weights; constructing an estimator to generate hop particles based upon observing at least one sample hop and then evaluating the estimator using a condition

Abstract: A system and method to self-configure a distributed system includes obtaining a description of a distributed system which has a plurality of computing nodes, each node being capable of performing any of a plurality of tasks in the description. At each node, a persona of that node is determined in accordance with the description such that the nodes are assigned tasks in the distributed system. Each node is reconfigured in accordance with the persona such that the nodes are linked in the distributed system to provide a self-configured distributed system for performing at least one application.

Abstract: A system and method to self-configure a distributed system includes obtaining a description of a distributed system which has a plurality of computing nodes, each node being capable of performing any of a plurality of tasks in the description. At each node, a persona of that node is determined in accordance with the description such that the nodes are assigned tasks in the distributed system. Each node is reconfigured in accordance with the persona such that the nodes are linked in the distributed system to provide a self-configured distributed system for performing at least one application.

Abstract: The optimal allocation of resources—power and bandwidth—between training and data transmissions is considered for time-selective Rayleigh flat-fading channels under the cutoff rate criterion. The transmitter, assumed to have statistical channel state information (CSI) in the form of the channel Doppler spectrum, embeds known pilots symbols into the transmission stream. At the receiver, instantaneous, though imperfect, CSI is acquired through minimum mean square estimation of the channel based on some subset of pilot observations. The cutoff rate is computed and the optimal resource allocation is developed using, for example, a Gauss-Markov correlation model of a communication channel or a Jakes model.

Abstract: A cutoff rate may be used to determine an optimal binary input distribution for a communications system which operates with imperfect receiver channel state information (CSI) at the receiver. First, the cutoff rate may be evaluated and used to analyze the optimal binary input as a function of CSI quality and receiver Signal to Noise Ratio (SNR). Next, limiting distributions of BPSK and On-Off Keying (OOK) may be examined and an analytic design rule for adaptive modulation between these two inputs (as the receiver CSI changes) may be derived. The modulation scheme may provide near optimal performance by employing only these limiting distributions rather than the full spectrum of binary inputs. Finally, the results may be used to design an adaptive modulation scheme for Pilot Symbol Assisted Modulation (PSAM) systems.