PATENT CLAIM ANALYSIS

Application Number: 15898946
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["370", "329000"]

Abstract:
A three dimensional digital spectrum modulation spread spectrum technique (DSM-X) that improves channel diversity by providing multiple bands within the available portion of the frequency spectrum increasing the number of available channels. The system also improves the channel immunity through the use of at least three dimensions of pseudo-random data encoding, which adds two levels of pseudo-random frequency allocation to the pseudo-random data encoding used in prior DSM systems. The three dimensions of pseudo-random allocation may include pseudo-random data encoding, pseudo-random frequency pattern allocation among a plurality of bands defined within the assigned frequency spectrum, and pseudo-random frequency sequencing among a plurality of channels defined within each band. Additional levels of pseudo-random encoding may be implemented in direct sequence coding for header data, repeat packet timing, and packet iteration timing.

Claim (Index 34):
A transmission device configured to (i) spread spectrum modulate radio-controlled (RC) vehicle control data according to a first pseudo-random code, and (ii) transmit the spread spectrum modulated RC vehicle control data according to a two-level frequency hopping spread spectrum (FHSS) scheme that comprises (a) band hopping among a plurality of frequency bands according to a first pseudo-random sequence, wherein each frequency band comprises a range of frequencies, and (b) channel hopping among a plurality of channels within each frequency band according to a second pseudo-random sequence, wherein each channel comprises an individual carrier frequency.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 88.0
- Lexical Diversity: 1.83117
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13364917', '09793433', '10787700', '09732185', '10147828']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5699586715960903
- 35 USC 102 Novelty (BERT): 0.5740476553263607
- Combined Prediction Score: 0.5703675699691173
- Mean Citation Score: 258.359026
- Max Citation Score: 533.6365400000002
- Similarity Product: 372.0341563293828

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