65 results about "Volterra series" patented technology

A method is described for predistorting an input signal to compensate for non-linearities caused to the input signal in producing an output signal. The method comprises: providing an input for receiving a first input signal as a plurality of signal samples, x[n], to be transmitted over a non-linear element; providing at least one digital predistortion block comprising, a plurality of IQ predistorter cells coupled to the input, each comprising a lookup table (LUT) for generating an LUT output. The at least one digital predistortion block block is configured to apply interpolation between LUT entries for the plurality of LUTs; and generate an output signal, y[n], by each of the plurality of IQ predistorter cells by adaptively modifying the first input signal using interpolated LUT entries to compensate for distortion effects in the non-linear element. A combiner may be provided configured to combine the output signal samples, yQ, from the plurality of IQ predistorter cells into a combined signal to generate the output signal, y[n], for transmission to the non-linear element. An error calculation block may be coupled to a digital predistortion adaptation block to determine and modify a predistortion performance.

A method and apparatus are used to predistort input signal samples according to Volterra Series Approximation Model using one or more digital predistortion blocks (300) having a plurality of predistorter cells (301-303), each including an input multiplication stage (366-367) for combining absolute sample values received from an absolute sample delay line (362) into a first stage output, a lookup table (368) connected to be addressed by the first stage output for generating an LUT output, and a plurality of output multiplication stages (371-372, 373-374) for combining the LUT output with samples received from the amplitude sample delay line (362) and signal sample delay line (363) to generate an output signal sample yQ from said predistorter cell, where the output signal samples yQ from the predistorter cells are combined at an output adder circuit (375) to generate one or more Volterra terms of a combined signal (yOUT[n]).

The invention is a method for improved active sonar using a singular value decomposition filtering and a Volterra-Hermite Basis Expansion to model real active sonar measurements. The fitting model minimizes the sum of the squared errors between a measured channel response, z(t), and model response, y(t), which is a fitted Volterra Series solution. The model requires as input an excitation waveform, x(t), to which is fitted the model response, y(t). A contracted broadband cross-ambiguity function is used to correct the excitation waveform for Doppler and range effects. Once completed, the modeled response can be used to determine the linearity or non-linearity of the channel effects. Appropriate measures can be utilized to reduce these effects on the measured channel response.

A wireless communication device including two or more aggressor transmitters and a victim receiver that is adversely affected by intermodulation distortion (IMD) components associated with the signals transmitted by the two or more aggressor transmitters. Because the aggressor transmitters and the victim receiver are located on the same device, the transmit waveforms that contribute to the IMD components are known and available. More specifically, digital baseband samples used by the aggressor transmitters to generate the transmit waveforms are available. These digital baseband samples are used to reconstruct the IMD component on the wireless device. This reconstructed (estimated) IMD component is provided to the victim receiver, and is subtracted from a signal received by the victim receiver, thereby effectively removing the IMD component present in this received signal. An adaptive filter using a Volterra series can be used to estimate the IMD component in response to the transmitter digital baseband samples.

A radio transmission system comprising a plurality of Volterra Engine (VE) linearizers; a power amplifier (PA) coupled to the VE linearizers; a feedback circuitry coupled to the VE linearizers and the PA; and at least one adaptive controller coupled to the feedback circuitry, wherein each VE linearizer is coupled to at least another VE linearizer in series, in parallel, or both, and is configured to compensate for at least one distortion aspect of an output signal from the PA.

A pertubative approach based on the Born approximation resolves weakly nonlinear circuit models without requiring explicit high-order device derivatives. Convergence properties and the relation to Volterra series are discussed. According to the disclosed methods, second and third order intermodulation products (IM2, IM3) and intercept points (IP2, IP3) can be calculated by second and third order Born approximations under weakly nonlinear conditions. A diagrammatic representation of nonlinear interactions is presented. Using this diagrammatic technique, both Volterra series and Born approximations can be constructed in a systematic way. The method is generalized to calculate other high-order nonlinear effects such as IMn (nth order intermodulation product) and IPn (nth order intermodulation intercept point). In general, the equations are developed in harmonic form and can be implemented in both time and frequency domains for analog and RF circuits.