Abstract: A calibration apparatus includes a calibration circuit and a singularity detection (SD) circuit. The calibration circuit performs a calibration process upon a time-interleaved analog-to-digital converter (TI-ADC) with a plurality of TI channels, wherein the calibration process includes detecting and correcting mismatch between different TI channels of the TI-ADC. The SD circuit sets an SD flag by evaluating variation of statistical characteristics of an ADC input signal between different TI channels of the TI-ADC, and outputs the SD flag to the calibration circuit, wherein the calibration circuit controls the calibration process according to the SD flag.

Abstract: The present invention provides a detection device and a method with simplified computing manner A transmitter transmits detection signals to an environment to detect a target. At least a portion of the detection signals are reflected by the target to generate a plurality of reflection signals. A receiver comprises a plurality of receiving units. Each of the receiving units receives the reflection signals to generate a receiving signal. A processing module connected to the receiver includes a conversion unit, an integration unit and a computing unit. The conversion unit converts the receiving signals into transformation signals by a time-domain to frequency-domain transformation. The integration unit integrates the transformation signals into a first integration signal and a second integration signal. The computing unit decomposes the first integration signal and the second integration signal to 1D arrays.

Abstract: A signal processing method is provided. First, at least one transmitted signal is output to at least one target, and the target reflects at least one reflected signal to receiving antennas, which then generate receiving signals upon receipt of the reflected signal. Next, the transmitted signal and each receiving signal are processed to generate processing signals. The processing signals are arranged in a form of matrix, to generate a channel coefficient matrix having M×N channel coefficient matrix blocks. Next, the channel coefficient matrix is divided into Ndivide×Mdivide secondary channel coefficient matrices, which are then substituted into a snapshot vector matrix equation to generate a snapshot vector matrix for calculating an angle of the target. The signal processing method can establish an optimal secondary channel coefficient matrix arrangement by using a special signal preprocessing manner, to improve the resolution and accuracy of the estimated angle parameter of the target.

Abstract: The present invention provides a detection device and a method with simplified computing manner A transmitter transmits detection signals to an environment to detect a target. At least a portion of the detection signals are reflected by the target to generate a plurality of reflection signals. A receiver comprises a plurality of receiving units. Each of the receiving units receives the reflection signals to generate a receiving signal. A processing module connected to the receiver includes a conversion unit, an integration unit and a computing unit. The conversion unit converts the receiving signals into transformation signals by a time-domain to frequency-domain transformation. The integration unit integrates the transformation signals into a first integration signal and a second integration signal. The computing unit decomposes the first integration signal and the second integration signal to 1D arrays.

Abstract: A signal processing method is provided. First, at least one transmitted signal is output to at least one target, and the target reflects at least one reflected signal to receiving antennas, which then generate receiving signals upon receipt of the reflected signal. Next, the transmitted signal and each receiving signal are processed to generate processing signals. The processing signals are arranged in a form of matrix, to generate a channel coefficient matrix having M×N channel coefficient matrix blocks. Next, the channel coefficient matrix is divided into Ndivide×Mdivide secondary channel coefficient matrices, which are then substituted into a snapshot vector matrix equation to generate a snapshot vector matrix for calculating an angle of the target. The signal processing method can establish an optimal secondary channel coefficient matrix arrangement by using a special signal preprocessing manner, to improve the resolution and accuracy of the estimated angle parameter of the target.