Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ROSA: Robust sparse adaptive channel estimation in the presence of
  impulsive noises   Based on the assumption of Gaussian noise model, conventional adaptive
filtering algorithms for reconstruction sparse channels were proposed to take
advantage of channel sparsity due to the fact that broadband wireless channels
usually have the sparse nature. However, state-of-the-art algorithms are
vulnerable to deteriorate under the assumption of non-Gaussian noise models
(e.g., impulsive noise) which often exist in many advanced communications
systems. In this paper, we study the problem of RObust Sparse Adaptive channel
estimation (ROSA) in the environment of impulsive noises using variable
step-size affine projection sign algorithm (VSS-APSA). Specifically, standard
VSS-APSA algorithm is briefly reviewed and three sparse VSS-APSA algorithms are
proposed to take advantage of channel sparsity with different sparse
constraints. To fairly evaluate the performance of these proposed algorithms,
alpha-stable noise is considered to approximately model the realistic impulsive
noise environments. Simulation results show that the proposed algorithms can
achieve better performance than standard VSS-APSA algorithm in different
impulsive environments.

35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
13
The categories of this paper are: quant-ph
6
The categories of this paper are: astro-ph
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org