Aptiv Technologies Limited

Aptiv Technologies Ag

Christopher D Gianelli

Zhengzheng Li

Zhengyu Peng

Empirical data fitting with Ordered Statistic Constant False Alarm Rate (CFAR) detection is described. An empirical approach is used to derive data for indicated expected target responses to provide a CFAR in a variety of different noise distributions. Multiple (e.g., at least two) ordered-statistics are extracted from radar data, which are then used identify a ratio for mapping to an appropriate CFAR multiplier of quantile function for a distribution at hand. Empirical data fitting evaluates an ordered-statistic ration (OSR) against expected OSR values. From evaluating the expected OSR values derived from multiple test frames, a mapping between measured OSR values and their appropriate CFAR multiplier is derived. Through this empirical data fitting, a radar system can perform CFAR detection to account for shape shifts or other variations in a noise distribution beyond just fluctuations in noise strength.

Ordered-statistics ratio (OSR) constant false alarm rate (CFAR) detection with empirical data fitting

This document describes techniques and systems for frequency division multiplexing (FDM) with polyphase shifters. A radar system can include transmitters, receivers, polyphase shifters, and a processor. The transmitters emit electromagnetic (EM) signals in an FDM scheme, and the receivers detect EM signals reflected by objects. The received EM signals include multiple channels. The processor controls the polyphase shifters to introduce phase shifts to the EM signals. The processor can also divide a Doppler-frequency spectrum of the received EM signals into multiple sectors representing a respective frequency range. Each channel is associated with a respective sector. The processor can determine, using non-coherent integration across the sectors, potential detections of the objects, including aliased and actual detections. The processor can then determine the actual detections. In this way, the described FDM techniques with polyphase shifters can resolve Doppler ambiguities in received EM signals.

Frequency division multiplexing with polyphase shifters

This document describes techniques and systems directed at slow-time modulation for multiple radar channels. A set of transmit channels are modulated using code sequences to phase-modulate transmission signals. A second set of transmit channels are modulated using the same codes for phase modulation as well as using a frequency phase shift. Demodulation is achieved by multiplying received signals by the code sequences. Fast Fourier transforms (FFT) are applied to the received signals to generate a range-Doppler map for each receive channel. A non-coherent integration is performed on the range-Doppler maps to form a range-Doppler average map. The range-Doppler average map is shifted by the frequency phase shift, and the minimal of the range-Doppler average map and the shifted range-Doppler average map is retained. These techniques may reduce the impact of signal residue and increase angular resolution by enabling multiple transmit channels to be utilized.

Growing community of inventors

Michigan City, IN, United States of America

Christopher D Gianelli