measurements and testbenches -凯发k8网页登录

analyze performance metrics of analog and mixed-signal systems

analyze different foundation blocks and system-level models of mixed-signal systems using measurement blocks and testbenches. you can validate a block from the mixed-signal blockset™ library, or you can validate your own customized blocks.

for pll, use the measurement blocks to analyze performance metrics such as phase noise, reference and fractional spurs, aperture jitter, timing impairments, and lock time. use block-specific testbenches to validate your customized blocks.

for adc, use the measurement blocks to analyze key performance metrics such as aperture jitter, snr, sinad, noise floor, offset error, and gain error.

use a system-level testbench to validate your pll and adc models.

apps

mixed signal analyzer

analyze circuit simulation data

blocks

pll measurements and testbenches

	measure time a pll takes to reach target frequency within given tolerance
	compute phase noise at specific frequency offset vectors
	generic test environment for phase/frequency detectors and charge pumps
	validate voltage controlled oscillator (vco) by measuring phase noise metrics or vco characteristics
	validate pll system by measuring operating frequency, lock time, and phase noise

adc measurement and testbenches

	measure ac performance metrics of adc output
	measure dc performance metrics of adc output
	measures dc and ac performance metrics of adc output

dac measurement and testbenches

	measure dc performance metrics of dac output
	measure ac performance metrics of dac output
	measure dc and ac performance metrics of dac output

jitter, timing, and visualization

	measure jitter in periodic signals
	measure aperture jitter of periodic signals
	measure period, frequency, duty cycle, rise time, fall time, and delay of a signal
	display eye diagram of time-domain signal

functions

pll functions

	measure and plot phase noise profile of time or frequency-domain signal
	measure rms phase jitter from phase noise data

data converter functions

	integral nonlinearity (inl) and differential nonlinearity (dnl) of data converters
	remove offset and gain errors from adc output
	compensate dac input for offset and gain errors

timing functions

	measure rise time of time domain signal
	measure fall time of time domain signal
	measure duty cycle of time-domain signal

mixed-signal analyzer functions

	extract simulation data from cadence to mixed signal analyzer app
	update saved session of mixed signal analyzer app

featured examples

phase noise at pll output

predict the phase noise at the output of a phase-locked loop (pll), simulate the pll using the pll testbench, and compare the simulation results to theoretical predictions.

effect of metastability impairment in flash adc

customize a flash analog to digital converter (adc) by adding the metastability probability as an impairment. you can measure the metastability probability impairment to validate your implementation. the example also shows the effect of metastability on the dynamic performance of the flash adc. when the digital output from a comparator is ambiguous (neither zero nor one), the output is defined as metastable. the ambiguous output is expressed as nan. this example model uses a matlab function block to add the metastability impairment to a flash adc architecture. another subsystem reports the metastability probability on the fly.

measuring offset and gain errors in adc

how offset error and gain error are calculated and how each affects the transfer curve of an adc. offset error and gain error characterize part of the linearity error in an adc.