Aptiv Technologies Limited

Le Zheng

Yu Zhang

Xin Zhang

Zhengzheng Li

Roman J Dietz

Chenghui Hao

Michael DeLaus

This document describes techniques and systems of a radar system with modified orthogonal linear antenna subarrays and an angle-finding module. The described radar system includes a first one-dimensional (1D) (e.g., linear) subarray; a second 1D subarray positioned orthogonal to the first 1D subarray; and a two-dimensional (2D) subarray. Using electromagnetic energy received by the first 1D subarray and the second 2D subarray, azimuth angles and elevation angles associated with one or more objects can be determined. The radar system associates, using electromagnetic energy received by the 2D subarray, pairs of an azimuth angle and an elevation angle to the respective objects. In this way, the described systems and techniques can reduce the number of antenna elements while maintaining the angular resolution of a rectangular 2D array with similar aperture sizing.

Radar system with modified orthogonal linear antenna subarrays

This document describes techniques and systems to resolve return signals among pixels in lidar systems. The described lidar system transmits signals with different waveforms for consecutive pixels to associate return signals with their corresponding pixels. During a detection window, the lidar system receives a return signal and compares it in the frequency domain to at least two template signals. The template signals include the waveform of an initial pixel and a subsequent pixel of two consecutive pixels, respectively. The lidar system then determines, based on the comparison to the template signals, the pixel to which the return signal corresponds and determines a characteristic of an object that reflected the return signal. In this way, the lidar system can confidently resolve detections to reduce the time between pixels. This improvement allows the described lidar system to operate at faster scanning speeds and realize a faster reaction time for automotive applications.

Resolving return signals among pixels in frequency-modulated continuous-wave (FMCW) lidar systems

A two-step optimization method for scheduling transmissions in an MIMO (multi-input multi-output) includes determining a first phase code for each transmission according to a first equation, placing each first phase code in a set of first phase codes, and determining a cost function of the set of first phase codes, determining a second phase code for each transmission according to a second equation, determining an updated cost function corresponding to replacing each of the first phase codes with a corresponding one of the second phase codes, and determining which set of phase codes has a smaller cost function.

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Le Zheng