PATENT CLAIM ANALYSIS

Application Number: 16032432
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["342", "359000"]

Abstract:
An antenna automatic alignment method for a rotor unmanned aerial vehicle (UAV) includes acquiring current feature information of a plurality of antennas of the rotor UAV in real time. The antennas are disposed at substantially U-shaped landing gears of the rotor UAV. The method further includes selecting one of the antennas to establish a point-to-point communication link with a remote controller of the rotor UAV in accordance with the current feature information of the plurality of antennas. The antennas include spare antennas and current communication antennas, and a number of the spare antennas equals a number of the current communication antennas.

Claim (Index 11):
The antenna automatic alignment method according to  claim 7 , wherein selecting the one of the antennas in accordance with the current feature information of the plurality of antennas includes:\n determining whether the current position information of the plurality of antennas relative to the rotor UAV and the current position information of the remote controller relative to the rotor UAV satisfy a switching criterion; and selecting the one of the antennas to establish the communication link in accordance with the switching criterion.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 95.0
- Lexical Diversity: 2.03774
- Patent Class: 342.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15638736', '15748748', '15747686', '14785901', '15224431']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5396638830113952
- 35 USC 102 Novelty (BERT): 0.5507304371772371
- Combined Prediction Score: 0.5407705384279794
- Mean Citation Score: 222.541594
- Max Citation Score: 423.07126
- Similarity Product: 336.06838199990983

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

Dataset: test