Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Study of Efficient Robust Adaptive Beamforming Algorithms Based on
  Shrinkage Techniques   This paper proposes low-complexity robust adaptive beamforming (RAB)
techniques based on shrinkage methods. We firstly briefly review a
Low-Complexity Shrinkage-Based Mismatch Estimation (LOCSME) batch algorithm to
estimate the desired signal steering vector mismatch, in which the
interference-plus-noise covariance (INC) matrix is also estimated with a
recursive matrix shrinkage method. Then we develop low complexity adaptive
robust version of the conjugate gradient (CG) algorithm to both estimate the
steering vector mismatch and update the beamforming weights. A computational
complexity study of the proposed and existing algorithms is carried out.
Simulations are conducted in local scattering scenarios and comparisons to
existing RAB techniques are provided.

23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat