A Direct-Sequence Code-Division Multiple-Access
(DS-CDMA) with rake receiver for multiuser system sets up a new
dimension in mobile communication system. We propose a pseudo
convex framework using an optimum sparse channel estimation
technique for DS-CDMA mobile communication systems.
Further, the blind channel estimation problem will be examined
for rake-based DS-CDMA communication framework with time
variant multi-path fading channels This receiver accomplishes an
effective assessment of channel according to a maximum
convexity criterion, by means of the sparse technique. This
estimation method requires a convenient representation of the
discrete multipath fading channel based on the sparse theory. In
this paper, we have defined a specialized interior-point method for
solving large-scale ℓ1
- problem in multiuser detection. Our method
can be generalized to handle a variety of extensions such as
various channel conditions. A new solution to DS-CDMA based
sparse channel estimation is presented in this paper that assures a
global optimal solution. Also, it is proven that the said solution can
be used as an apparent program that shall enable solutions
utilizing interior point techniques involving polynomial time
complexity. Through simulation the rationality of the techniques
proposed in this paper has been highlighted by results obtained for
various modulation schemes and channel parameters. The
execution of a pseudo convex framework using sparse channel
estimation technique with rake receiver in DS-CDMA framework
for multipath fading channels is explored. The overall
performance is evaluated in terms of bit error rate (BER) for a
range of values of signal to noise ratio (SNR). This framework
gives better performance under various modulation schemes using
pseudo noise (PN) spreading code. Furthermore, performance
of the proposed system is compared with different detectors.
Pseudo Convex Framework using Sparse Channel Estimation for Multipath Fading Channels in DS-CDMA Systems