The Experts below are selected from a list of 63 Experts worldwide ranked by ideXlab platform

D.c. Coll - One of the best experts on this subject based on the ideXlab platform.

  • Detection of multiple users of direct sequence spread spectrum signals by cyclic spectral analysis
    IEEE 43rd Vehicular Technology Conference, 1993
    Co-Authors: M.k. Islam, H.m. Hafez, D.c. Coll
    Abstract:

    The spectral correlation of direct sequence spread spectrum (DSSS) signals in the bi-frequency plane is exploited for detection of users in a fading multipath channel. Unlike conventional Code division multiple access (CDMA), the Length of Code for each user is different, while the processing gain and the carrier frequency are the same. This gives rise to a unique set of cycle frequencies for each user. Assuming low cross-correlation between the Codes, these sets of cycle frequencies can be used to identify the presence of user(s) in a highly noisy environment.

Wenjie Wang - One of the best experts on this subject based on the ideXlab platform.

  • A MUSIC-like blind co-channel signals separation algorithm and its performance analysis
    2009 IEEE International Symposium on Circuits and Systems, 2009
    Co-Authors: Hui Li, Wenjie Wang
    Abstract:

    Based on the finite alphabet property of the communication signals and the subspace theory, a blind source separation algorithm for co-channel signals is presented. A comparison between the proposed method and MUSIC algorithm is made. Although their application backgrounds are different, their principles are similar. On the viewpoint of MUSIC algorithm, a new explanation for the proposed approach is given. Based on the subspace perturbation theory, the bit error rate (BER) performance analysis is also presented. Some key parameters, such as channel vector correlation coefficient, signal vector correlation coefficient, number of antennas and Length of Code vectors, are discussed. Finally, simulation results confirm our performance analysis.

M.k. Islam - One of the best experts on this subject based on the ideXlab platform.

  • Detection of multiple users of direct sequence spread spectrum signals by cyclic spectral analysis
    IEEE 43rd Vehicular Technology Conference, 1993
    Co-Authors: M.k. Islam, H.m. Hafez, D.c. Coll
    Abstract:

    The spectral correlation of direct sequence spread spectrum (DSSS) signals in the bi-frequency plane is exploited for detection of users in a fading multipath channel. Unlike conventional Code division multiple access (CDMA), the Length of Code for each user is different, while the processing gain and the carrier frequency are the same. This gives rise to a unique set of cycle frequencies for each user. Assuming low cross-correlation between the Codes, these sets of cycle frequencies can be used to identify the presence of user(s) in a highly noisy environment.

H.m. Hafez - One of the best experts on this subject based on the ideXlab platform.

  • Detection of multiple users of direct sequence spread spectrum signals by cyclic spectral analysis
    IEEE 43rd Vehicular Technology Conference, 1993
    Co-Authors: M.k. Islam, H.m. Hafez, D.c. Coll
    Abstract:

    The spectral correlation of direct sequence spread spectrum (DSSS) signals in the bi-frequency plane is exploited for detection of users in a fading multipath channel. Unlike conventional Code division multiple access (CDMA), the Length of Code for each user is different, while the processing gain and the carrier frequency are the same. This gives rise to a unique set of cycle frequencies for each user. Assuming low cross-correlation between the Codes, these sets of cycle frequencies can be used to identify the presence of user(s) in a highly noisy environment.

Hui Li - One of the best experts on this subject based on the ideXlab platform.

  • A MUSIC-like blind co-channel signals separation algorithm and its performance analysis
    2009 IEEE International Symposium on Circuits and Systems, 2009
    Co-Authors: Hui Li, Wenjie Wang
    Abstract:

    Based on the finite alphabet property of the communication signals and the subspace theory, a blind source separation algorithm for co-channel signals is presented. A comparison between the proposed method and MUSIC algorithm is made. Although their application backgrounds are different, their principles are similar. On the viewpoint of MUSIC algorithm, a new explanation for the proposed approach is given. Based on the subspace perturbation theory, the bit error rate (BER) performance analysis is also presented. Some key parameters, such as channel vector correlation coefficient, signal vector correlation coefficient, number of antennas and Length of Code vectors, are discussed. Finally, simulation results confirm our performance analysis.