Aerospace and Electronic Systems Magazine February 2018 - 57

Correction:

DOI. No. 10.1109/MAES.2018.170207

Correction to "Direction of Arrival Estimation for
Monostatic MIMO Radar Using Reduced-Dimension RISR
Algorithm"
Dang Xiao Fang, Xi'an Electronic Engineering Research Institute, China

CORRECTION

ADDITION

Correction to "Direction of Arrival Estimation for Monostatic
MIMO Radar Using Reduced-Dimension RISR Algorithm" [1]

We would also like to add an important reference, as follows:
[7]

We would like to change the following sentences in [1] from
1. "...in this paper, a new reduced dimensional re-iterative superresolution (RD-RISR) algorithm which do not require an SCM
or eigendecomposition is developed..." on page 607
2. "The RISR algorithm based on the MMSE formulation is motivated by the performance gains..." on page 609
3. "To enforce the assumption of no temporal correlation, the spatial power distribution matrix is defined as..." on page 609
4. "...an initial estimation of the spatial power distribution is got,
i.e...." on page 609

Shannon D. Blunt, Tsz Ping Chan, and Karl Gerlach, "Robust DOA
Estimation: The Re-Iterative Super-Resolution (RISR) Algorithm,"
IEEE Trans. on Aerospace & Electronic Systems, 47, 1, pp. 332-346,
2011.

We apologize for any inconvenience caused to the authors of
reference [7] and to readers.
Dang Xiaofang, Ma ke, Chen Baixiao, Yang Minglei.

REFERENCES
[1]

to the following corrected versions:

Dang Xiaofang, Ma ke, Chen Baixiao, and Yang Minglei, "Direction
of Arrival Estimation for Monostatic MIMO Radar Using ReducedDimension RISR Algorithm," 11th International Symposium on Antennas, Propagation and EM Theory (ISAPE), Guilin, China, October
18-21, 2016.

1. "...in this paper, a new reduced-dimensional re-iterative superresolution (RD-RISR) algorithm based on RISR algorithm [7]
that is does not employ the SCM or an eigendecomposition is
presented,..."
2. "The RISR algorithm [7] based on the MMSE formulation is
motivated by the performance gains..."
3. To enforce the assumption of no temporal correlation, the spatial power distribution matrix is defined [7] as..."
4. "...an initial estimation of the spatial power distribution [7] is
got, i.e...."

Authors' address: Xi'an electronic engineering research institute, 1st department, Shannxi xi'an fengxidonglu9th, Xi'an,
710011 China, E-Mail: (dadadxf@163.com).
Manuscript received November 29, 2017, revised and ready for
publication December 28, 2017.
Refereeing of this contribution was handled by P. Willett.
0885/8985/17/$26.00 © 2018 IEEE
FEBRUARY 2018

IEEE A&E SYSTEMS MAGAZINE

57



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