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논문 기본 정보

자료유형
학술저널
저자정보
Kang-In Lee (Kwangwoon University) Hojun Yoon (Kwangwoon University) Jongmann Kim (국방과학연구소) Young-Seek Chung (Kwangwoon University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.13 No.2
발행연도
2018.3
수록면
868 - 874 (7page)

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초록· 키워드

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In this paper, we propose a new jammer suppression algorithm that uses orthogonal waveform space projection (OWSP) processing for a multiple input multiple output (MIMO) radar system exposed to a jamming signal. Generally, a conventional suppression algorithm based on adaptive beamforming (ABF) needs a covariance matrix composed of the jammer and noise only. By exploiting the orthogonality of the transmitting waveforms of MIMO, we can construct a transmitting waveform space (TWS). Then, using the OWSP processing, we can build a space orthogonal to the TWS that contains no SOI. By excluding the SOI from the received signal, even in the case that contains the SOI and jamming signal, the proposed algorithm makes it possible to evaluate the covariance matrix for ABF. We applied the proposed OWSP processing to suppressing the jamming signal in bistatic MIMO radar. We verified the performance of the proposed algorithm by comparing the SINR loss to that of the ideal covariance matrix composed of the jammer and noise only. We also derived the computational complexity of the proposed algorithm and compared the estimation of the DOD and DOA using the SOI with those using the generalized likelihood ratio test (GLRT) algorithm.

목차

Abstract
1. Introduction
2. Signal Model
3. Orthogonal Waveform Signal Projection Process
4. Estimation of DOD and DOA Using LSMI Beamformer
5. Computational Complexity
6. Numerical Examples
7. Conclusion
References

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