PATENT CLAIM ANALYSIS

Application Number: 16167482
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["370", "329000"]

Abstract:
Localization systems and methods for transmitting timestampable localization signals from anchors according to one or more transmission schedules. The transmission schedules may be generated and updated to achieve desired positioning performance. For example, one or more anchors may transmit localization signals at a different rate than other anchors, the anchor transmission order can be changed, and the signals can partially overlap. In addition, different transmission parameters may be used to transmit two localization signals at the same time without interference. A self-localizing apparatus is able to receive the localization signals and determine its position. The self-localizing apparatus may have a configurable receiver that can select to receive one of multiple available localization signals. The self-localizing apparatuses may have a pair of receivers able to receive two localization signals at the same time. A bridge anchor may be provided to enable a self-localizing apparatus to seamlessly transition between two localization systems.

Claim (Index 7):
The localization system of  claim 6 , wherein the payload of at least some of the UWB localization signals comprises commands and wherein the at least one scheduling unit is configured to change from the first transmission schedule to the second transmission schedule to optimize the propagation of the commands to at least one of a self-localizing apparatus and the plurality of the anchors.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 97.0
- Lexical Diversity: 2.025
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15289066', '16167484', '15168122', '15173556', '15917544']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.689930869966362
- 35 USC 102 Novelty (BERT): 0.5665638242494816
- Combined Prediction Score: 0.677594165394674
- Mean Citation Score: 431.377336
- Max Citation Score: 466.98724
- Similarity Product: 322.6597565790057

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