Signal subspace reconstruction method of MIMO radar

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Signal subspace reconstruction method of MIMO radar

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© The Institution of Engineering and Technology
Published

A novel signal subspace reconstruction method for multiple-input multiple-output (MIMO) radar is proposed. The developed method realises signal subspace resconstruction by the eigendecomposition of two low dimension matrixes. It provides lower computational complexity and fewer training samples compared to the full DOF method. Simulation results are given to demonstrate the effectiveness of the method.

Inspec keywords: computational complexity; matrix algebra; signal reconstruction; MIMO radar

Other keywords: signal subspace reconstruction method; low dimension matrixes; MIMO radar; computational complexity

Subjects: Signal processing and detection; Algebra; Radar theory

References

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      • L. Jian , P. Stoica , X. Luzhou . On parameter identifiability of MIMO radar. IEEE Signal Process. Lett. , 12 , 968 - 971
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      • Bliss, D.W., Forsythe, K.W.: `Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution', 37thAsilomar Conf. on Signals, Systems and Computers, 2003, p. 54–59.
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      • J.W. Brewer . Kronecker products and matrix calculus in system theory. IEEE Trans Circuits Syst. , 772 - 781
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      • L. Xu , J. Li , P. Stoica . Target detection and parameter estimation for MIMO radar systems. IEEE Trans. Aerosp. Electron. Syst. , 3 , 927 - 939
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