A single antenna interference cancellation algorithm based on fictitious channels filtering

Meng, Xianglong; Liu, Zheng; Jiang, Wen

doi:10.1109/icosp.2012.6491630

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, PCMA can save half of the bandwidth resources and improve the performance of anti-interception. The demodulation of PCMA signals is fundamentally a field in single-channel blind source separation [2][3][4][5]o r single antenna interference cancellation [6][7][8]. Therefore PCMA signals have become a challenge in communication signal processing.…”

Section: Introductionmentioning

confidence: 99%

Frequency offset estimation of the linear mixture of two co‐frequency 8 phase‐shift keying modulated signals

Yong

Zhang

Peng

2015

IET signal process.

View full text Add to dashboard Cite

A frequency offset estimation (FOE) algorithm based on the maximum-likelihood criterion is proposed for the linear mixture of two 8PSK modulated signals with fixed frame length and frame synchronisation code on the condition that the frame length is known when the signals are coded asynchronously. FOE is calculated by optimising the objective function, which is obtained from cross-correlation computation, given that timing error, amplitude attenuation and phase offset are unknown. The optimised process is accomplished by utilising hierarchical search. Cramer-Rao bound (CRB) of mixed-signal FOE is derived to evaluate the performance of the proposed algorithm. The estimation performance of the algorithm can come close to the CRB performance with low E s /N 0. The proposed algorithm is also applied to the FOE of a mixed signal whose power is asymmetrical.

show abstract

Section: Introductionmentioning

confidence: 99%

Frequency offset estimation of the linear mixture of two co‐frequency 8 phase‐shift keying modulated signals

Yong

Zhang

Peng

2015

IET signal process.

View full text Add to dashboard Cite

show abstract

“…The basic principle behind LFB methods is to design a linear filter to cancel CCI. A linear or nonlinear inter-symbol interference (ISI) equalizer is then applied [2]- [4]. However, these approaches can only cancel an interference signal.…”

Section: Introductionmentioning

confidence: 99%

Single Antenna Interference Cancellation Algorithm Based on Lattice Reduction

Zhao¹,

Cao²,

Dai³

2015

JCM

View full text Add to dashboard Cite

Single antenna co-channel interference (CCI) cancellation is a challenge in mobile communication systems, especially for downlink systems. A novel single antenna CCI cancellation algorithm based on lattice reduction (LR) and decision feedback equalization scheme is proposed in this paper. The idea behind the proposed algorithm is to form a multichannel multiuser detection model through over-sampling and then adopts a decision feedback detection method based on LR. Complexity analysis results show that the complexity of the proposed algorithm is quadratic with the memory length of the channels and is nearly independent of the modulation order. Furthermore, simulation results are also presented to indicate the bit error rate performance of the proposed algorithm and its robustness with respect to channel estimation errors.

show abstract

Iterative Processing Structure for the Single-Channel Mixture of Digital-Modulated Adjacent-Frequency Source Signals

Yong

Peng

Zhang

et al. 2020

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

A single antenna interference cancellation algorithm based on fictitious channels filtering

Cited by 3 publications

References 9 publications

Frequency offset estimation of the linear mixture of two co‐frequency 8 phase‐shift keying modulated signals

Frequency offset estimation of the linear mixture of two co‐frequency 8 phase‐shift keying modulated signals

Single Antenna Interference Cancellation Algorithm Based on Lattice Reduction

Iterative Processing Structure for the Single-Channel Mixture of Digital-Modulated Adjacent-Frequency Source Signals

Contact Info

Product

Resources

About