Special Issue "Sparse Array Design, Processing and Application"
Deadline for manuscript submissions: 15 April 2024 | Viewed by 3896
Interests: array signal processing; direction-of-arrival estimation; source localization
Special Issues, Collections and Topics in MDPI journals
Interests: direction-of-arrival estimation; spectrum analysis
Antenna arrays have been used widely in the field of radar, sonar, wireless communications, and medical imaging. With the increasing demand for better spatial processing performance, the element number in antenna arrays increases greatly, which leads to massive antenna arrays. However, the adjacent distance between elements of massive antenna arrays is usually restricted to half wavelength of incoming signals, which leads to high power consumption and manufacturing costs. Compared with traditional compact antenna arrays, sparse arrays have larger array aperture, greater degrees of freedom (DOF), and smaller mutual coupling. Meanwhile, sparse arrays can achieve higher resolution and resolve more sources than that of uniform arrays with the same number of antennas.
In recent years, sparse arrays have attracted significant attention. However, there are still some problems in sparse array design, processing, and application—for example, both the array aperture and number of antennas are limited in some applications, and the impinging signals are usually correlated or even coherent due to the multipath effect.
Therefore, there are urgent requirements for the new sparse array structure and the corresponding signal processing methods in order to obtain high-precision, high-resolution, and large-capacity parameter estimation in different applications. This Special Issue invites contributions on the latest developments and advances in robust processing methods, schemes, or architectures for sparse array and its parameter estimation methods.
Topics to be covered include but are not limited to the following:
- Sparse array design with limited array aperture and limited number of sensors;
- Sparse array design facing multipath effect;
- Sparse array design under array motion;
- Sparse array design with reduced mutual coupling;
- Direction of arrival estimation using sparse array;
- Coherent signal processing in sparse array;
- Multidimensional sparse arrays;
- Distributed sparse arrays;
- Data fusion for multiple sparse arrays;
- Robust detection or estimation methods in sparse array radar systems.
Dr. Jianfeng Li
Dr. Meng Sun
Manuscript Submission Information
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- sparse array
- direction of arrival estimation
- coherent signals
- multidimension array
- distributed array
- array motion
- array radar