Abstract: This document describes techniques and systems for super-resolution based on iterative multiple-source angle-of-arrival estimation. Beam vectors received by an electromagnetic sensor may include information about multiple objects, but if the objects are close, the objects may initially appear as a single object in a Doppler-range bin. Performing iterative operations on a first angle derived from the beam vector and a subsequent second angle, associated with a second object, derived from the first angle, the first angle and the second angle may be refined and converge toward their actual respective values. The iterative operations include performing calculations involving only the first angle value and the second angle value as unknowns. Noise has been approximated to be random Gaussian noise with zero mean. Additionally, phase ambiguity, associated with sparse channel arrays has been eliminated.

Abstract: This document describes techniques, apparatuses, and systems for radar interference mitigation using signal pattern matching. Radar signals (e.g., chirps) received by a radar system may include interference from other nearby radar systems. The interference can result in reduced sensitivity of the radar system. The techniques, apparatuses, and systems described herein mitigate the interference by selecting an uncorrupted segment of the radar signal that neighbors a corrupted segment, analyzing the radar signal to identify a match segment that has similar signal characteristics to the neighbor segment, and replacing the corrupted segment with a segment that is adjacent to the match segment. In this manner, a noise floor of the radar system may be lowered, leading to increased sensitivity.