Abstract: A method separates a multi-component signal by first estimating parameters of the signal. Then, using periodicity-based algebraic separation and energy-based demodulation, the signal is separated into components according to the parameters and constraints. Last, a Teager-Kaiser energy detector is applied to each component to provide a direct current signal for each component, and the constraint for each component used by the separating.

Abstract: At least one parameter of a signal is determined, wherein the signal is a sinusoidal signal including noise, wherein the parameter includes at least one of a frequency of the signal, and an angle of a phase of the signal. The frequency of the signal is determined iteratively based on a linear relationship among the frequency of the signal, samples of the noise, and samples of the signal using a statistical correlation among the samples of the noise. During a current iteration the statistical correlation is updated based on the frequency of the signal determined during a previous iteration, and the samples of the signal are updated with values of the signal during a current period of time.

Abstract: A battery is charged by first charging the battery at a constant current during a first time interval, and then charging the battery at a varying current during a second time interval. The battery can be a lithium-ion battery, and the charging uses a kinetic model. The kinetic model models the battery having an indiffused well having a capacity c, and a diffused well having a capacity 1?c, and the indiffused well is filled directly by the current, and the diffused well is filled only from the indiffused well via a valve with constant inductance.

Abstract: A method for detecting a target in a non-homogeneous environment using a space-time adaptive processing of a radar signal includes normalizing training data of the non-homogeneous environment to produce normalized training data; determining a normalized sample covariance matrix representing the normalized training data; tracking a subspace represented by the normalized sample covariance matrix to produce a clutter subspace matrix; determining a test statistic representing a likelihood of a presence of the target in the radar signal based on the clutter subspace matrix and a steering vector; and comparing the test statistic with a threshold to detect the target.

Abstract: In a wireless network including a server and clients, network resources, such as time slots and channel frequencies, are managed by having the server define the resources for future use by the clients, while the clients actually allocate the resources for their exclusive use according to performance criteria determined by the clients. The network can be ad-hoc and in industrial environments with low-latency requirements.

Abstract: Conditions in a power grid are detected by sampling a voltage in the grid. A normal condition hypothesis is modeled as a sinusoid, and a transient condition hypothesis is modeled as a sum of damped sinusoids. The samples are used to construct a probability density function. A likelihood ratio based on the pdf and the hypotheses is compared to a threshold to determine whether the condition is normal or transient.

Abstract: Parameters of a three phase mixture of sinusoids with harmonic distortion are estimated by first acquiring samples of the signal for no more than a quarter cycle of the signal, a classifier is applied to the samples to obtain noise and signal parameters. Then, initial parameters are estimated to obtain final parameters.

Abstract: A state of charge (SoC) a lithium-ion (Li+) battery is estimated at a time instant by first constructing a model of the Li+ battery based on a single particle operation. The model describes a relationship between the SoC, a charge current, a discharge current, and an output voltage. Using a nonlinear optimization, a function expressing a relationship between the SoC and an open circuit voltage is determined. The relationship is based on off-line measurements of the charge current, the discharge current, and the open-circuit voltage. Then, the SoC and parameters of the model are estimated concurrently, wherein the SoC and the parameters are based on the model, the function, and on-line measurements of the charge current, the discharge current, and the output voltage.

Abstract: A method estimates a state-of-charge (SoC) of a battery by constructing a set of two or more battery models. Each battery model is associated with an adaptive SOC estimator. A set of intermediate SOCs is estimated using the models and the associate adaptive SoC estimators. Then, the set of intermediate SoCs are fused to obtain a final SoC of the battery.

Abstract: A wireless star network includes including a master node (master) and a set of N slave nodes (slaves), wherein the network uses orthogonal frequency division multiple access (OFDMA). The master partitions the set of slaves in a first subset A(i) and second subset B(j), wherein the first and second subsets are disjoint. Packets are transmitted by the first subset of slaves only while the master and second subset of slaves operate in receive mode, and packets are transmitted by the second subset of slaves only while the master and first of slaves operate in receive mode.

Abstract: A battery is charged by first charging the battery at a constant current during a first time interval, and then charging the battery at a varying current during a second time interval. The battery can be a lithium-ion battery, and the charging uses a kinetic model. The kinetic model models the battery having an indiffused well having a capacity c, and a difused well having a capacity 1?c, and the indiffused well is filled directly by the current, and the diffused well is filled only from the indiffused well via a valve with constant inductance.

Abstract: In a wireless network including a server and clients, network resources, such as time slots and channel frequencies, are managed by having the server define the resources for future use by the clients, while the clients actually allocate the resources for their exclusive use according to performance criteria determined by the clients. The network can be ad-hoc and in industrial environments with low-latency requirements.

Abstract: A method for facilitating an operation of an ad-hoc energy exchange network is disclosed. The network includes a set of nomadic charging stations (NCSs) and an energy consumer (EC). Upon receiving a request from the EC for an energy exchange, wherein the request includes a current location and a destination location of the EC, an exchange location for performing the energy exchange between a nomadic charging station (NCS) and the EC is determined based on the current location of the EC, the destination location of the EC, and a current location of the NCS. The exchange location is transmitted to the NCS and the EC.

Abstract: A method allocates bandwidth to channels in an orthogonal frequency division multiple access and time division multiple access (TDMA) network. The network includes a master device (master) communicating with a set of slave devices (slaves). The master defines a set ?m of logical indices ? of a set of N physical subcarriers for a set of M data streams to be allocated to a set of Nd logical data subcarriers according to ?m={?|?=iM+m, i=0,1,2, . . . , d?1}, where d=Nd/M. The set of N data subcarriers is mapped to the set of Nd logical subcarriers according to the logical indices, and the data subcarriers are allocated to the logical subcarriers.

Abstract: A method for detecting unbalance in a 3-phase voltage signal includes sampling the signal over an observation widow to determine a set of observations, and detecting the unbalance of the signal based on a probability density function (pdf) of the set of observations.

Abstract: A blanking scheme for mitigating impulsive noise in wireless networks is based on the signal-to-noise ratio (SNR) of symbols. To fully gain the benefits of the SNR-based blanking scheme, two methods are developed, namely a multi-level thresholding scheme in the time-, spatial- and frequency-domains, and a weighted-input error-correction decoding. The symbols are conditioned as a function of the estimated SNR in time-, frequency-, or spatial-domains or combinations therefore, and the conditioning is applied to an amplitude, phase, or energy level, or combinations thereof.

Abstract: A method for detecting unbalance in a 3-phase voltage signal is disclosed. The method includes determining an unbalance indicator as a value of a square of an amplitude of a positive sequence of the voltage signal; and comparing the unbalance indicator with a threshold to determine unbalance of the voltage signal.

Abstract: A method provides space-time adaptive processing (STAP) for target detection using adaptive matched filters (AMF). A generalized likelihood ratio test (GLRT) is determined where spatial and temporal correlation matrices Q and A are assumed. Then, the correlation matrices A and Q are replaced with maximum likelihood (ML) estimates obtained only from training signals subject to a persymmetric constraint.

Abstract: At least one parameter of a signal is determined, wherein the signal is a sinusoidal signal including noise, wherein the parameter includes at least one of a frequency of the signal, and an angle of a phase of the signal. The frequency of the signal is determined iteratively based on a linear relationship among the frequency of the signal, samples of the noise, and samples of the signal using a statistical correlation among the samples of the noise. During a current iteration the statistical correlation is updated based on the frequency of the signal determined during a previous iteration, and the samples of the signal are updated with values of the signal during a current period of time.

Abstract: A method for detecting a target in a non-homogeneous environment using a space-time adaptive processing of a radar signal includes normalizing training data of the non-homogeneous environment to produce normalized training data; determining a normalized sample covariance matrix representing the normalized training data; tracking a subspace represented by the normalized sample covariance matrix to produce a clutter subspace matrix; determining a test statistic representing a likelihood of a presence of the target in the radar signal based on the clutter subspace matrix and a steering vector; and comparing the test statistic with a threshold to detect the target.