IP Library Granted Patent US 12,456,998
Granted Patent B2
US 12,456,998 · App. 18/200,811 · Granted Oct 28, 2025

Capacity enhancement in a wireless communications system using distributed asynchronous multi-user detection

Inventors: Bryan Crompton (Lowell, MA); Apurva N Mody (Chelmsford, MA); David Simpson (Springfield, VA)
Assignee: A10 SYSTEMS INC
H04B1/123H04L1/0045H04W84/12
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,456,998
App. No.
18/200,811
Granted
Oct 28, 2025
Kind
B2
Abstract

One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

Claims (44)

1 . A method comprising;

receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal;

processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and

determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

2 . The method of claim 1 , wherein the processing comprises:

performing parameter estimation on the mixture signal to determine one or more characteristics of the first intended signal and the at least one interfering signal;

identifying the at least one interfering signal based on the one or more characteristics of the first intended signal and the at least one interfering signal; and

processing the at least one interfering signal.

3 . The method of claim 2 , wherein processing the at least one interfering signal comprises:

de-modulating the at least one interfering signal to yield at least one de-modulated interfering signal; and

re-modulating the at least one de-modulated interfering signal to yield the re-modulated version of each of the at least one interfering signal.

4 . The method of claim 2 , wherein the parameter estimation is performed using Cross Layer Sensing.

5 . The method of claim 1 , wherein the adaptive filtering is a Recursive Least Squares (RLS) adaptive filtering.

6 . The method of claim 1 , wherein determining the first intended signal comprises:

subtracting the at least one reconstructed interfering signal from the mixture signal to yield an estimated first intended signal;

de-modulating the estimated first intended signal to yield a de-modulated first intended signal; and

applying a Forward Error Correction (FEC) to recover the first intended signal.

7 . The method of claim 1 , wherein the first intended signal and the at least one interfering signal are overlappingly transmitted in one or more of a frequency domain or a time domain.

8 . The method of claim 1 , wherein the mixture signal is a signal transmitted within a tactical data link network.

9 . The method of claim 1 , wherein the mixture signal is a wireless signal transmitted within a Wi-Fi system.

10 . The method of claim 1 , wherein the first intended signal and the at least one interfering signal are wireless signals associated with different wireless communication protocols.

11 . An apparatus comprising:

one or more memories having computer-readable instructions stored therein; and

one or more processors configured to execute the computer-readable instructions to:

receive a mixture signal, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal;

process the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and

determine the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

12 . The apparatus of claim 11 , wherein the one or more processors are configured to execute the computer-readable instructions to process the mixture signal by:

performing parameter estimation on the mixture signal to determine one or more characteristics of the first intended signal and the at least one interfering signal;

identifying the at least one interfering signal based on the one or more characteristics of the first intended signal and the at least one interfering signal; and

processing the at least one interfering signal.

13 . The apparatus of claim 12 , wherein the one or more processors are configured to execute the computer-readable instructions to process the at least one interfering signal by:

de-modulating the at least one interfering signal to yield at least one de-modulated interfering signal; and

re-modulating the at least one de-modulated interfering signal to yield the re-modulated version of each of the at least one interfering signal.

14 . The apparatus of claim 12 , wherein the one or more processors are configured to execute the computer-readable instructions to perform parameter estimation using Cross Layer Sensing.

15 . The apparatus of claim 11 , wherein the adaptive filter is a Recursive Least Squares (RLS) adaptive filtering.

16 . The apparatus of claim 11 , wherein the one or more processors are configured to execute the computer-readable instructions to determine the first intended signal by:

subtracting the at least one reconstructed interfering signal from the mixture signal to yield an estimated first intended signal;

de-modulating the estimated first intended signal to yield a de-modulated first intended signal; and

applying a Forward Error Correction to recover the first intended signal.

17 . The apparatus of claim 11 , wherein the first intended signal and the at least one interfering signal are overlappingly transmitted in one or more of a frequency domain or a time domain.

18 . The apparatus of claim 11 , wherein the mixture signal is a signal transmitted within a tactical data link network.

19 . The apparatus of claim 11 , wherein the mixture signal is a wireless signal transmitted within a Wi-Fi system.

20 . The apparatus of claim 11 , wherein the first intended signal and the at least one interfering signal are wireless signals associated with different wireless communication protocols.

Assignments (3)
CHANGE OF NAME Recorded Sep 27, 2023
From: A10 SYSTEMS LLC D/B/A AIRANACULUS
To: A10 SYSTEMS INC DBA AIRANACULUS
Reel/Frame 065213/0218 →
CONFIRMATORY LICENSE Recorded Sep 5, 2023
From: A10 SYSTEMS LLC D/B/A AIRANACULUS
To: DEPARTMENT OF THE NAVY
Reel/Frame 064798/0326 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 24, 2023
From: CROMPTON, BRYAN; MODY, APURVA N; SIMPSON, DAVID
To: A10 SYSTEMS LLC
Reel/Frame 063741/0103 →
Continuity (2)
Provisional Application 63344941 · May 23, 2022
Related Publication 20230378987A1 · Nov 23, 2023
References Cited (8)
US 10641906B2 · Altrichter · 2020 [cited by applicant]
US 20050095985A1 · Hafeoz · 2005 [cited by examiner]
US 20060223479A1 · Stanners · 2006 [cited by applicant]
US 20090086864A1 · Komninakis · 2009 [cited by examiner]
US 20110311007A1 · Nuutinen · 2011 [cited by examiner]
US 20140254634A1 · Hsu et al. · 2014 [cited by applicant]
US 20200205062A1 · Azizi et al. · 2020 [cited by applicant]
McManus et al.; “Experimental Analysis of Cross-Layer Sensing for Protocol-Agnostic Packet Boundary Recognition”; Dept. of Electrical Engineering, State University of New York (SUNY) at Buffalo, Buffalo, NY 14260, USA; … [cited by applicant]