DOA Estimation Based on Ultra Sparse Nested MIMO Array with Two Co-prime Frequencies
ID:106 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:383 Oral Presentation

Start Time:2020-06-08 15:00(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS06Cognitive Waveform Diversity Design And Signal Processing

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Abstract
This paper mainly deals with the problem of direction-of-arrival (DOA) estimation for the ultra sparse nested (USN) MIMO array by operating on two co-prime frequencies. The USN MIMO array consists of a sparse uniform (SU) transmitting array and a more SU receiving array with nested relationship, which generates a SU sum coarray. In this case, the DOA estimation is aliasing because the difference coarray of the sum coarray (DCSC) of the USN MIMO array is also SU for the reference operation frequency. To remove the aliasing, an additional operation frequency with coprime relationship is utilized to form an extra SU sum coarray where the spacing of two adjacent virtual sensors is coprime with that of reference frequency(RF). As a result, two coprime spacings of sum coarrays are combined into a coprime sum coarray which provides a desired DCSC with a majority of contiguous virtual sensors. Finally, with respect to these contiguous virtual DCSC sensors, an augmented correlation matrix with contiguous correlation lags is obtained to calculate MUSIC spectrum. Simulation results demonstrate the resolvable ability for more targets than physical sensors and the performance comparison under both cases of proportional and nonpropotional target spectra.
Keywords
Speaker
Tianyao Long
Chengdu University of Technology, China

Submission Author
Tianyao Long Chengdu University of Technology, China
Yong Jia Chengdu University of Technology, China
Li Jiang Chengdu University of Technology, China
Binge Yan Chengdu University of Technology, China
Tanzheng Yang Chengdu University of Technology, China
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