Novel IEEE-STD-1241-Based Test Methods for Analog-to-Information Converter.

The compressive sensing theory is implemented by means of analog-to-information converter (AIC) that provides a digitized and compressed output $y$ directly from its analog input signal $x$. A reconstruction algorithm, in turn, is needed to obtain a reconstructed signal $\hat {x}$ that estimates $x$ from $y$. This algorithm can be far away from the AIC, linked through a communication channel, and embedded in a remote machine, for instance. In general, $\hat {x}$ is evaluated in order to test the AIC itself and, in consequence, the performance of the reconstruction algorithm affects the test result of the AIC-under-test and, as a result, can invalidate the AIC test at all. Few state-of-the-art works have proposed the test methods that take into account only the AIC output $y$. However, they take into consideration a single-sine test signal to follow the IEEE Standard 1241 for analog-to-digital converter testing. In this paper, two new AIC test methods are introduced in which only the AIC outputs, that is, only the compressed outputs $y$ , are taken in account. In the first one, multisine signals can be applied and, in the second one, four-parameters sine-wave fit methods, as recommended by the IEEE Standard 1241, can be applied. Experimental results were obtained for two different AIC implementations (namely, random demodulator and random modulation preintegrator) and the signal-to-noise and distortion ratio (SINAD) of both was measured directly from the AIC output proving that the proposed AIC test methods are effective. [ABSTRACT FROM AUTHOR]