PATENT CLAIM ANALYSIS

Application Number: 16034776
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["375", "224000"]

Abstract:
A radar sensor includes a mixer configured to receive an radio frequency (RF) input signal to down-convert the RF input signal into a base-band or intermediate frequency (IF) band, an analog-to-digital converter (ADC), and a signal processing chain coupled between the mixer and the ADC. The radar sensor further includes an oscillator circuit that is configured to generate a test signal. The ADC is coupled to an output of the signal processing chain, and is configured to generate a digital signal by digitizing an output signal of the signal processing chain, the output signal being derived from the test signal. The radar sensor further includes a digital signal processing circuit coupled to the ADC downstream thereof, the digital signal processing circuit being configured to perform a spectral analysis on frequency values of the digital signal.

Claim (Index 12):
A method for testing a radar sensor that includes signal processing chain coupled between a mixer and an analog-to-digital converter (ADC), the method comprising:\n generating a test signal; receiving a radio frequency (RF) input signal by the mixer and down-converting the RF input signal into a base-band or an intermediate frequency (IF) band; generating a digital signal by the ADC by digitizing an output signal of the signal processing chain, the output signal being derived from the test signal; and performing a spectral analysis on frequency values of the digital signal.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 95.0
- Lexical Diversity: 2.58621
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15610840', '15685542', '14493610', '15099130', '14993557']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.536157885064865
- 35 USC 102 Novelty (BERT): 0.5402005578069181
- Combined Prediction Score: 0.5365621523390703
- Mean Citation Score: 257.96666600000003
- Max Citation Score: 392.5103
- Similarity Product: 360.20230108552573

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test