PATENT CLAIM ANALYSIS

Application Number: 15953700
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["342", "070000"]

Abstract:
A radar sensing system for a vehicle includes a transmit pipeline, a receive pipeline, and a memory module. The transmit pipeline includes transmitters for transmitting radio signals. The receive pipeline includes receivers for receiving radio signals that include the transmitted radio signals transmitted by the transmitters and reflected from objects in an environment. The memory module is configured to store interference estimates for each receiver of the plurality of receivers that are estimates of interfering radio signals received by each of the receivers that are transmitted by each respective transmitter of the plurality of transmitters. Each receiver of the plurality of receivers is configured to mitigate interference that is due to interfering radio signals transmitted by the plurality of transmitters, as defined by the stored interference estimates of the plurality of transmitters for each particular receiver.

Claim (Index 16):
The method of  claim 15 , wherein the estimated effect of the interference from a particular transmitter on a particular receiver that correlates with a different set of spreading codes is used to mitigate the interference from the particular transmitter at the particular receiver.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 91.0
- Lexical Diversity: 2.57143
- Patent Class: 342.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15632754', '15481648', '15712230', '15496038', '15416219']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.627722072218824
- 35 USC 102 Novelty (BERT): 0.5310416408287222
- Combined Prediction Score: 0.6180540290798139
- Mean Citation Score: 353.226608
- Max Citation Score: 398.02167
- Similarity Product: 341.0789704013854

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