Patent classifications
H03M3/358
Conversion of a discrete-time quantized signal into a continuous-time, continuously variable signal
Provided are, among other things, systems, apparatuses, methods and techniques for converting a discrete-time quantized signal into a continuous-time, continuously variable signal. An exemplary converter preferably includes: (1) multiple oversampling converters, each processing a different frequency band, operated in parallel; (2) multirate (i.e., polyphase) delta-sigma modulators (preferably second-order or higher); (3) multi-bit quantizers; (4) multi-bit-to-variable-level signal converters, such as resistor ladder networks or current source networks; (5) adaptive nonlinear, bit-mapping to compensate for mismatches in the multi-bit-to-variable-level signal converters (e.g., by mimicking such mismatches and then shifting the resulting noise to a frequently range where it will be filtered out by a corresponding bandpass (reconstruction) filter); (6) multi-band (e.g., programmable noise-transfer-function response) bandpass delta-sigma modulators; and/or (7) a digital pre-distortion linearizer (DPL) for canceling noise and distortion introduced by an analog signal bandpass (reconstruction) filter bank.
SIGNAL TRANSFER FUNCTION EQUALIZATION IN MULTI-STAGE DELTA-SIGMA ANALOG-TO-DIGITAL CONVERTERS
Typically, complex systems require a separate and expensive equalizer at the output of an analog-to-digital converter (ADC). Rather than providing a separate equalizer, the effective Signal Transfer Function (STF) of a Multi-stAge noise SHaping (MASH) ADC can be modified by leveraging available digital filtering hardware necessary for quantization noise cancellation. The modification can involves adding calculations in the software previously provided for computing digital quantization noise cancellation filter coefficients, where the calculations are added to take into account equalization as well. As a result, the signal transfer function can be modified to meet ADC or system-level signal-chain specifications without additional equalization hardware. The method is especially attractive for high-speed applications where magnitude and phase responses are more challenging to meet.
Apparatuses and Methods for Converting Fluctuations in Periodicity of an Input Signal into Fluctuations in Amplitude of an Output Signal
An exemplary apparatus for converting fluctuations in periodicity of an input signal into proportional fluctuations in the amplitude of an output signal includes: an input line for accepting an input signal; a delay element with an input coupled to the input line and an output; a detector having a first input coupled to the input line, a second input coupled to the output of the delay element, and an output; an integrator having an input coupled to the output of the detector and an output; and an output line coupled to the output of the integrator. The delay element introduces a time delay which is greater than zero and less than twice the nominal oscillation period of the input signal. The detector performs a differencing operation. The integrator has a time constant of integration that is smaller than twice the delay applied by the delay element.
Conversion of a discrete-time quantized signal into a continuous-time, continuously variable signal
Provided are, among other things, systems, apparatuses, methods and techniques for converting a discrete-time quantized signal into a continuous-time, continuously variable signal. An exemplary converter preferably includes: (1) multiple oversampling converters, each processing a different frequency band, operated in parallel; (2) multirate (i.e., polyphase) delta-sigma modulators (preferably second-order or higher); (3) multi-bit quantizers; (4) multi-bit-to-variable-level signal converters, such as resistor ladder networks or current source networks; (5) adaptive nonlinear, bit-mapping to compensate for mismatches in the multi-bit-to-variable-level signal converters (e.g., by mimicking such mismatches and then shifting the resulting noise to a frequently range where it will be filtered out by a corresponding bandpass (reconstruction) filter); (6) multi-band (e.g., programmable noise-transfer-function response) bandpass delta-sigma modulators; and/or (7) a digital pre-distortion linearizer (DPL) for canceling noise and distortion introduced by an analog signal bandpass (reconstruction) filter bank.
Sampling/quantization converters
Provided are, among other things, systems, apparatuses, methods and techniques for converting a continuous-time, continuously variable signal into a sampled and quantized signal. One such apparatus includes an input line for accepting an input signal that is continuous in time and continuously variable, multiple processing branches coupled to the input line, and an adder coupled to outputs of the processing branches. Each of the processing branches includes a continuous-time quantization-noise-shaping circuit, a sampling/quantization circuit coupled to an output of the continuous-time quantization-noise-shaping circuit, a digital bandpass filter coupled to an output of the sampling/quantization circuit, and a line coupling an output of the digital-to-analog converter circuit back into the continuous-time quantization-noise-shaping circuit. A center frequency of the digital bandpass filter in each the processing branch corresponds to a minimum in a quantization noise transfer function for the continuous-time quantization-noise-shaping circuit in the same processing branch.
Interleaved Δ-Σ modulator
A delta sigma modulator which has improved the dynamic range. The modulator has a plurality of ADCs and a plurality of DACs, the plurality of ADCs and DACs are connected in a loop. The plurality of ADCs are coupled with an incoming analog signal. A clock generator provides a plurality of clock signals which control the plurality of ADCs and the plurality of DACs, the clock signals being offset relative to each other in the time domain thereby enabling each ADC in the plurality of ADCs one at a time and each DAC in the plurality of DACs one at a time so that the modulator processes data in the incoming analog signal in an interleaved fashion. The delta sigma modulator has an Nth order filter in a forward path of the loop.
Conversion of a Discrete-Time Quantized Signal into a Continuous-Time, Continuously Variable Signal
Provided are, among other things, systems, apparatuses, methods and techniques for converting a discrete-time quantized signal into a continuous-time, continuously variable signal. An exemplary converter preferably includes: (1) multiple oversampling converters, each processing a different frequency band, operated in parallel; (2) multirate (i.e., polyphase) delta-sigma modulators (preferably second-order or higher); (3) multi-bit quantizers; (4) multi-bit-to-variable-level signal converters, such as resistor ladder networks or current source networks; (5) adaptive nonlinear, bit-mapping to compensate for mismatches in the multi-bit-to-variable-level signal converters (e.g., by mimicking such mismatches and then shifting the resulting noise to a frequently range where it will be filtered out by a corresponding bandpass (reconstruction) filter); (6) multi-band (e.g., programmable noise-transfer-function response) bandpass delta-sigma modulators; and/or (7) a digital pre-distortion linearizer (DPL) for canceling noise and distortion introduced by an analog signal bandpass (reconstruction) filter bank.
Conversion of a Discrete-Time Quantized Signal into a Continuous-Time, Continuously Variable Signal
Provided are, among other things, systems, apparatuses, methods and techniques for converting a discrete-time quantized signal into a continuous-time, continuously variable signal. An exemplary converter preferably includes: (1) multiple oversampling converters, each processing a different frequency band, operated in parallel; (2) multirate (i.e., polyphase) delta-sigma modulators (preferably second-order or higher); (3) multi-bit quantizers; (4) multi-bit-to-variable-level signal converters, such as resistor ladder networks or current source networks; (5) adaptive nonlinear, bit-mapping to compensate for mismatches in the multi-bit-to-variable-level signal converters (e.g., by mimicking such mismatches and then shifting the resulting noise to a frequently range where it will be filtered out by a corresponding bandpass (reconstruction) filter); (6) multi-band (e.g., programmable noise-transfer-function response) bandpass delta-sigma modulators; and/or (7) a digital pre-distortion linearizer (DPL) for canceling noise and distortion introduced by an analog signal bandpass (reconstruction) filter bank.
Signal modulation circuit
Provided is a circuit which can correct an output state in real time and reduce influences of distortion/noise components generated by a delay device. A signal modulation circuit includes a subtractor, an integrator, a phase inverting circuit, a DFF for while inserting a zero level at timing synchronous with the clock signal, delaying and quantizing the signal, a ternary signal generating circuit for generating a ternary signal for selectively driving a load connected to a single power supply into ternary conductive states including a positive current on-state, a negative current on-state, and an off-state, a driver circuit for generating a driving signal for driving a load, and a feedback circuit for feeding back the driving signal from the driver circuit to the input signal.
METHOD OF MANUFACTURING DISTORTION COMPENSATION APPARATUS
A distortion compensator 10 acquires an asymmetric component included in a 1-bit pulse train outputted from a DSM 6 on the basis of an analog signal as an output signal obtained from the 1-bit pulse train, and an IQ signal as an input signal to be inputted to the DSM 6, and performs distortion compensation on the basis of the asymmetric component. The distortion compensator 10 is caused to store therein asymmetric component data representing the acquired asymmetric component. When acquiring the asymmetric component, the distortion compensator 10 acquires, as an asymmetric component, a difference between an output baseband signal obtained by orthogonally demodulating the analog signal as the output signal, and an input baseband signal before being orthogonally modulated.