公开(公告)号：US20190391251A1

公开(公告)日：2019-12-26

申请号：US16204457

申请日：2018-11-29

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Sachin BHARADWAJ, JR. ,  Sandeep RAO

IPC: G01S13/58 ,  G01S7/02 ,  G01S7/40 ,  G01S13/34

Abstract: A radar data processing device includes at least one analog-to-digital converter (ADC) configured to digitize a plurality of input signals, wherein each input signal includes radar chirp and radar chirp reflection information received at one of a plurality of receiver antennas. The radar data processing device also includes Fast Fourier Transform (FFT) logic configured to generate FFT output samples based on each digitized input signal, wherein at least some of the generated FFT output samples are across antenna FFT output samples associated with at least two of the plurality of receiver antennas. The radar data processing device also includes a processor configured to determine a plurality of object parameters based on at least some of the generated FFT output samples, wherein the processor uses a neural network classifier trained to provide a confidence metric for at least one of the plurality of object parameters.

公开(公告)号：US20210364624A1

公开(公告)日：2021-11-25

申请号：US17183406

申请日：2021-02-24

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Sachin BHARADWAJ, JR. ,  Sandeep RAO

IPC: G01S13/58 ,  G01S13/34 ,  G01S7/40 ,  G01S7/02

Abstract: A radar data processing device includes at least one analog-to-digital converter (ADC) configured to digitize a plurality of input signals, wherein each input signal includes radar chirp and radar chirp reflection information received at one of a plurality of receiver antennas. The radar data processing device also includes Fast Fourier Transform (FFT) logic configured to generate FFT output samples based on each digitized input signal, wherein at least some of the generated FFT output samples are across antenna FFT output samples associated with at least two of the plurality of receiver antennas. The radar data processing device also includes a processor configured to determine a plurality of object parameters based on at least some of the generated FFT output samples, wherein the processor uses a neural network classifier trained to provide a confidence metric for at least one of the plurality of object parameters.