A new method for the design of high performance receivers in the presence of co-channel interference

We present the co-channel interference mitigation in the time-scale domain (CIMTS) algorithm which estimates the signal of interest (SOI) and the interfering signal from their superposition in the presence of additive noise. This method is inspired by the reconstruction of the interference from the null space of the SOI in the time-scale domain. Once the null space of the SOI is determined, the interfering signal is reconstructed via a set of linear operations. Then, the SOI is estimated by a simple subtraction of the estimated interference from the observations.<<ETX>>

[1]  H. W. Hawkes Study of adjacent and co-channel FM interference reduction , 1991 .

[2]  K. Giridhar,et al.  Joint demodulation of cochannel signals using MLSE and MAPSD algorithms , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[3]  K. Schneider Optimum Detection of Code Division Multiplexed Signals , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Truong Q. Nguyen Partial spectrum reconstruction using digital filter banks , 1993, IEEE Trans. Signal Process..

[5]  Behnaam Aazhang,et al.  Multistage detection in asynchronous code-division multiple-access communications , 1990, IEEE Trans. Commun..

[6]  K. Abend,et al.  Statistical detection for communication channels with intersymbol interference , 1970 .

[7]  M. J. Ready,et al.  Demodulation of cochannel FSK signals using joint maximum likelihood sequence estimation , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[8]  Sergio Verdú,et al.  Minimum probability of error for asynchronous Gaussian multiple-access channels , 1986, IEEE Trans. Inf. Theory.