Method and apparatus for detection and cancellation of single-tone or multi-tone interference in communication systems

• US 8,385,484 B2
• Filed: 12/16/2008
• Issued: 02/26/2013
• Est. Priority Date: 10/20/2008
• Status: Active Grant

• Current Assignee: Montage LZ Semiconductor (shanghai) Co., ltd., Montage Lz Technologies (Chengdu) Co.Ltd.
• Original Assignee: Montage Technology Company Limited
• Inventors: Nie, Yuanfei, Hu, Gang, Wu, Meiwu
• Primary Examiner(s): PATEL, DHAVAL V
• Application Number:
  US12/336,108
• Publication Number:
  US 20100098197A1
• Time in Patent Office: 1,533 Days
• Field of Search: 370/203, 370/204, 370/205, 370/206, 370/207, 370/208, 370/209, 370/210, 375/260, 375/267, 375/343, 375/346, 375/295, 375/296, 375/297
• US Class Current: 375/346
• CPC Class Codes: H03D 1/04 Modifications of demodulators to reduce interference by undesired signals
• CPC Class Codes: H03D 3/002 Modifications of demodulators to reduce interference by undesired signals H03D3/248 takes precedence

Abstract

A method and system for canceling an interference signal are provided. In the method, a received signal is transformed from a time domain to a frequency domain at relative low precision to obtain an estimated frequency and an estimated amplitude of the interference signal. A reference signal is generated using the estimated frequency and the estimated amplitude. An error signal is generated using the received signal and the reference signal based on minimum correlation criteria. The reference signal is adjusted using the error signal based on an adaptive algorithm. The reference signal is subtracted from the received signal to obtain the useful signal.

Claims

1. A method for canceling an interference signal from a received signal, comprising:

performing a time-frequency transform on the received signal;

computing an estimated frequency of the interference signal using a result of the time-frequency transform;

obtaining an estimated amplitude of the interference signal;

generating a reference signal using the estimated frequency and the estimated amplitude of the interference signal;

generating an error signal using the reference signal and the received signal based on minimum correlation criteria, wherein the error signal is defined as one of the following equations;

σ

(n)=(R(n)−

I′

(n))conj(I′

(n)) or σ

(n)=(R(n)−

I′

(n))conj(R(n)),

wherein, R(n) represents the received signal, I′

(n) represents the reference signal, and n represents sampling times;

updating the reference signal using the error signal based on an adaptive algorithm to minimize a difference between the reference signal and the interference signal;

subtracting in time domain the reference signal from the received signal to produce a refined signal; and

outputting the refined signal.

2. The method of claim 1, wherein the estimated amplitude is computed using the result of the time-frequency transform.

3. The method of claim 1, wherein the adaptive algorithm is selected from one of a LMS algorithm and a RLS algorithm.

4. The method of claim 3, wherein the reference signal is defined as the following equation:

I′

(n)=A′

(n)exp(j*2*π

*f₀*n*T_s+j*ξ

(n)),

wherein, A′

(n) represents the amplitude part of the reference signal, exp(j*2*π

*f₀*n*T_s+j*ξ

(n)) represents the phase part of the reference signal, f₀ represents the estimated frequency, T_s represents sampling interval, ξ

(n) represents a dynamic component of the reference signal, and n represents sampling times.

5. The method of claim 4, wherein the amplitude part is updated first and the phase part is updated based on the updated amplitude part.

6. The method of claim 5, wherein when a LMS algorithm is used, the reference signal is updated according to the following equations:

A′

(n)=A′

(n−

1)+λ

₁*σ

(n−

1),

θ

(n)=mod(θ

(n−

1)+λ

₂*angle(A′

(n)),2*π

), and

ξ

(n)=mod(θ

(n)+λ

₃*angle(A′

(n)),2*π

),

wherein, λ

₁, λ

₂, and λ

₃ are corresponding updating steps.

7. The method of claim 4, wherein the phase part is updated first and the amplitude part is updated based on the updated amplitude part.

8. The method of claim 1, wherein the refined signal is outputted into a storage medium.

9. A system for canceling an interference signal from a received signal:

an interference frequency detecting device to conduct a time-frequency transform on the received signal, and to estimate a frequency of the interference signal using the results of the time-frequency transform to obtain an estimated frequency of the interference signal;

an estimated amplitude generating device to obtain an estimated amplitude of the interference signal;

a phase part calculating device to calculate a phase part of a reference signal using the estimated frequency of the interference signal and a dynamic component of the phase part of the reference signal from an updating device;

a multiply operation device to multiply an amplitude part and the phase part of the reference signal to generate the reference signal;

an error signal generating device to generate an error signal using the received signal and the reference signal based on a minimum correlation criteria, wherein the error signal is defined as one of the following equations;

σ

(n)=(R(n)−

I′

(n))conj(I′

(n)), or σ

(n)=(R(n)−

I′

(n))conj(R(n)),

wherein, R(n) represents the received signal, I′

(n) represents the reference signal, and n represents sampling times;

the updating device to update the amplitude part and the phase part of the reference signal using the error signal based on an adaptive algorithm to make the reference signal approach the interference signal; and

an add operation device to subtract in time domain the reference signal from the received signal to cancel the interference signal.

10. The system of claim 9, wherein the estimated amplitude is calculated using the results of the time-frequency transform.

11. The system of claim 9, wherein the adaptive algorithm is one of all kinds of LMS algorithms and all kinds of RLS algorithms.

12. The system of claim 11, wherein the reference signal is defined as the following equation:

I′

(n)=A′

(n)exp(j*2*π

*f₀*n*T_s+j*ξ

(n)),

wherein, A′

(n) represents the amplitude part of the reference signal, exp(j*2*π

*f₀*n*T_s+j*ξ

(n)) represents the phase part of the reference signal, f₀ represents the estimated frequency, T_s represents sampling interval, ξ

(n) represents a dynamic component of the reference signal, and n represents sampling times.

13. The system of claim 12, wherein the amplitude part is updated first, the phase part is updated based on the updated amplitude part.

14. The system of claim 13, wherein when the adaptive algorithm is a basic LMS algorithm, the reference signal is updated according to the following equations:

A′

(n)=A′

(n−

1)+λ

₁*σ

(n−

1),

θ

(n)=mod(θ

(n−

1)+λ

₂*angle(A′

(n)),2*π

), and

ξ

(n)=mod(θ

(n)+λ

₃*angle(A′

(n)),2*π

),

wherein, λ

₁, λ

₂, and λ

₃ are corresponding updating steps.

15. The system of claim 12, wherein the phase part is updated first, the amplitude part is updated based on the updated amplitude part.