PATENT CLAIM ANALYSIS

Application Number: 16114710
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["375", "267000"]

Abstract:
In distributed communication networks, the signal received at the destination is characterized by unknown multiple carrier frequency offsets (MCFOs) and improper channel state information (CSI). The knowledge of offsets and channel gains are required for coherent deployment of distributed systems. Hence, joint training sequence (TS) design method is proposed for joint estimation of MCFOs and channel estimation over spatially correlated channel. Thus, the present invention provides a method of providing joint estimation for distributed communication systems with multiple antennas at the nodes over spatial correlated channels. The designed optimal training sequences are short length and spectrally efficient. The designed training sequence produces zero cross-correlation, facilitating channel estimation without matrix inversion, significantly lowers the complexity of the estimation algorithm.

Claim (Index 47):
The system as claimed in  claim 46 , wherein said source node transmit OFDM data payloads along with training sequence to corresponding said destination nodes and said destination nodes estimate the frequency offset and channel characteristics from the received training sequences.

Metadata:
- Claim Count in Document: 125.0
- Percentile: 96.0
- Lexical Diversity: 1.70886
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10109915', '15493675', '11222171', '11524225', '12886028']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4560500696090402
- 35 USC 102 Novelty (BERT): 0.4992317495487394
- Combined Prediction Score: 0.4603682376030101
- Mean Citation Score: 192.251878
- Max Citation Score: 207.28899
- Similarity Product: 143.6760588304299

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