PATENT CLAIM ANALYSIS

Application Number: 15903053
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["375", "262000"]

Abstract:
A communication receiving apparatus and a method for detecting transmit symbols are provided. In the method, received signal and channel state information corresponding to the received signal are obtained. A modified Least-Square (LS) estimation according to the received signal and the channel state information is calculated. The modified LS estimation is defined as min min w   Aw  2 which subjects to a linearly-constrained equation C H w=x−x ls , C is a constraint matrix which is a matrix multiplication of a matrix A and the channel state information matrix H, w is a variable vector, x is a vector of a transmit symbol, and x ls  is a LS solution according to the received signal and the channel state information. The transmit symbol is determined according to the solution of the modified LS estimation. The embodiment of the disclosure is applicable to any digitally modulated communication systems, including but not limited to Multiple Input Multiple Output (MIMO) communication systems.

Claim (Index 2):
The method for detecting transmit symbols according to  claim 1 , wherein the step of calculating the modified LS estimation according to the received signal and the channel state information comprising:\n constructing iteratively the vector of the transmit symbol with M dimensions by giving an i-dimensional seed symbol vector, wherein the i-dimensional seed symbol vector is determined from a previous iteration, and M and i are positive integers where i is less than M.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 2.2987
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15179981', '10517026', '13975374', '15390057', '10897886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4163645833538828
- 35 USC 102 Novelty (BERT): 0.537472115525339
- Combined Prediction Score: 0.4284753365710285
- Mean Citation Score: 214.815738
- Max Citation Score: 360.16187
- Similarity Product: 262.5099923409212

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

Dataset: test