Abstract: For example, a processor may be configured to generate compressed radar information by compressing radar values in a plurality of data bins of at least one radar processing dimension, the at least one radar processing dimension including a range dimension. For example, the processor may be configured to generate the compressed radar information by quantizing a plurality of normalized values corresponding to the radar values in the plurality of data bins. For example, a normalized value corresponding to a radar value in a data bin may be based on a normalization of the radar value with respect to a plurality of radar values in the data bin. For example, the processor may be configured to store the compressed radar information in a memory.

Abstract: For example, an apparatus may include a radar processor to process radar receive (Rx) data, the radar Rx data based on radar signals received via a plurality of Rx antennas of a Multiple-Input-Multiple-Output (MIMO) radar antenna; and to generate radar information by applying an Amplitude Phase Estimation (APES) calculation to the radar Rx data.

Abstract: Techniques are disclosed implementing two alternative approaches for adaptive beamforming for MIMO radar. The first of these includes a “reduced complexity” iterative adaptive approach (RC-IAA) algorithm, which uses two steps including a delay-and-sum beamforming step (DAS-BF) and an IAA step that is applied to the output generated by the DAS-BF step. A second technique is described that includes a “beam space” iterative adaptive approach (BS-IAA) algorithm, which uses three steps including a delay-and-sum beamforming step (DAS-BF), a region of interest (ROI) detection step that is applied to the output generated by the DAS-BF, and an IAA step that is applied to detected ROIs.

Abstract: Some demonstrative aspects include radar apparatuses, devices, systems and methods. In one example, an apparatus may include a plurality of Transmit (Tx) antennas to transmit radar Tx signals, a plurality of Receive (Rx) antennas to receive radar Rx signals based on the Tx signals, and a processor to generate radar information based on the radar Rx signals. The apparatus may be implemented, for example, as part of a radar device, for example, as part of a vehicle including the radar device. In other aspects, the apparatus may include any other additional or alternative elements and/or may be implemented as part of any other device.

Abstract: Systems, methods, and circuitries are disclosed to determine parameters for predistortion circuitry in a transceiver including a transmit chain and a receive chain. In one example, a method includes providing a training signal to a power amplifier on the transmit chain. A separation circuitry is controlled to provide an amplified training signal and a first feedback signal is received from the receive chain. The separation circuitry is controlled to output a modified amplified training signal and a second feedback signal is received from the receive chain. Parameters for the predistortion circuitry are determined based the first feedback signal and the second feedback signal.

Abstract: For example, an apparatus may include a radar processor to process radar receive (Rx) data, the radar Rx data based on radar signals received via a plurality of Rx antennas of a Multiple-Input-Multiple-Output (MIMO) radar antenna; and to generate radar information by applying an Amplitude Phase Estimation (APES) calculation to the radar Rx data.

Abstract: Techniques are disclosed implementing two alternative approaches for adaptive beamforming for MIMO radar. The first of these includes a “reduced complexity” iterative adaptive approach (RC-IAA) algorithm, which uses two steps including a delay-and-sum beamforming step (DAS-BF) and an IAA step that is applied to the output generated by the DAS-BF step. A second technique is described that includes a “beam space” iterative adaptive approach (BS-IAA) algorithm, which uses three steps including a delay-and-sum beamforming step (DAS-BF), a region of interest (ROI) detection step that is applied to the output generated by the DAS-BF, and an IAA step that is applied to detected ROIs.