PATENT CLAIM ANALYSIS

Application Number: 15976200
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["340", "435000"]

Abstract:
A radar system and method of detecting an object involve a first node including a first transmitter and a first receiver, and a second node including a second transmitter and a second receiver. The second receiver receives a first received signal from an object from a first transmission by the first transmitter, the first received signal including first phase noise with a first delay, and the first receiver receives a second received signal from the object from a second transmission by the second transmitter, the second received signal including second phase noise with a second delay. A processor processes the first transmission, the first received signal, the second transmission, and the second received signal to eliminate the inter-node phase noise and to estimate a location of the object relative to the radar system based on the first delay and the second delay.

Claim (Index 16):
The vehicle according to  claim 15 , wherein the processor is further configured to obtain an inter-node signal between the first node and the second node by multiplying the first result and the second result to obtain a periodic signal with a frequency that is a sum of the first delay and the second delay.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 93.0
- Lexical Diversity: 3.70732
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14687617', '14548807', '14357756', '15908986', '14630105']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6524614417564858
- 35 USC 102 Novelty (BERT): 0.5053173608750546
- Combined Prediction Score: 0.6377470336683427
- Mean Citation Score: 180.764614
- Max Citation Score: 188.86876
- Similarity Product: 126.74793743805408

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

Dataset: test