Abstract: One embodiment is a method for estimating an internal temperature of a battery, the method comprising obtaining multiple terminal impedance measurements, wherein each of the terminal impedance measurements is taken at a different one of a plurality of frequencies; determining model parameters for a multivariable polynomial regression model; and applying the multivariable polynomial regression model to the multiple terminal impedance measurements to estimate the internal temperature of the battery.

Abstract: The battery monitoring techniques described herein may be used for detection of battery anomalies or faults. Also, the battery monitoring techniques described herein may be used to generate estimates of total battery capacity. The battery monitoring techniques may employ an alternating current frequency response (ACFR) of the battery. The ACFR response of the battery may be used to detect anomalies and/or estimate a total capacity of the battery.

Abstract: Non-idealities of input circuitry of a receiver signal chain can significantly degrade the overall performance of the receiver signal chain. A digital nonlinearity correction (NLC) can be implemented in a receiver signal chain having an ADC. Digital NLC can be designed as a drop in signal preconditioner for existing RF ADC wideband receiver signal chains. A unique equalizer can compensate for a variety of mixer spurs. Accordingly, digital NLC can correct nonlinearities due to mixers and any amplifiers preceding or following the ADC, potentially improving receive chains performance by 15-25 dB. Such a digital NLC solution can be particularly beneficial in defense and instrumentation applications which demand the greatest performance.

Abstract: One embodiment is a system for estimating an internal temperature of a battery including a first circuit for receiving a system input signal comprising a measurement of at least one observable quantity associated with the battery and outputting an average battery temperature signal based on the system input signal; and an estimator for receiving the system input signal and the average battery temperature signal and estimating an internal temperature of the battery based on the received signals, wherein the estimator comprises a lumped thermal model of the battery comprising a plurality of parameters.

Abstract: One embodiment is a method for estimating an internal temperature of a battery, the method comprising obtaining multiple terminal impedance measurements for the battery, wherein each of the terminal impedance measurements is obtained at a different one of a plurality of frequencies; automatically selecting one of a plurality of battery models using on a value of a parameter of the battery, wherein each of the battery models has been trained and corresponds to a different range of values for the battery parameter and wherein the value of the parameter of the battery falls within the range of values for the battery parameter corresponding to the selected one of the plurality of battery models; and applying the selected one of the plurality of battery models to the multiple terminal impedance measurements to estimate the internal temperature of the battery.

Abstract: One embodiment is a method for estimating an internal temperature of a battery, the method comprising obtaining multiple terminal impedance measurements, wherein each of the terminal impedance measurements is taken at a different one of a plurality of frequencies; determining model parameters for a multivariable polynomial regression model; and applying the multivariable polynomial regression model to the multiple terminal impedance measurements to estimate the internal temperature of the battery.

Abstract: The battery monitoring techniques described herein may be used for detection of battery anomalies or faults. Also, the battery monitoring techniques described herein may be used to generate estimates of total battery capacity. The battery monitoring techniques may employ an alternating current frequency response (ACFR) of the battery. The ACFR response of the battery may be used to detect anomalies and/or estimate a total capacity of the battery.

Abstract: A distortion mitigation quantizer circuit includes a pre-quantizer to generate a first quantized signal having L output signal levels from an input signal and a digital pulse-width-modulation (PWM) circuit to modulate the first quantized signal using M modulating carriers with PWM carrier frequency fp and according to an over sampling ratio (OSR) N in order to generate a second quantized signal. In this case, a number of the modulating carriers M is substantially equal to twice L/N.

Abstract: Digital compensators for use in outphasing-based power amplification systems (e.g., Linear Amplification using Nonlinear Components (LINC) amplifiers and Asymmetric Multilevel Outphasing (AMO) amplifiers) include a short memory nonlinear portion and a long memory linear time invariant (LTI) portion. In various embodiments, compensators are provided that are of relatively low complexity and that are capable of operation at throughputs exceeding a Gigasample per second.

Abstract: Digital compensators for use in outphasing-based power amplification systems (e.g., Linear Amplification using Nonlinear Components (LINC) amplifiers and Asymmetric Multilevel Outphasing (AMO) amplifiers) include a short memory nonlinear portion and a long memory linear time invariant (LTI) portion. In various embodiments, compensators are provided that are of relatively low complexity and that are capable of operation at throughputs exceeding a Gigasample per second.