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A Study on Signal Parameters Estimation via Nonlinear Minimization

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주제분류해상운송학

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Abstract

The problem for parameters estimation of the received signals impinging on array sensors has long been of great research interest in a great variety of applications, such as radar, sonar, and land mobile communications systems. Conventional subspace-based algorithms, such as MUSIC and ESPRIT, require an extensive computation of inverse matrix and eigen-decomposition. In this paper, we propose a new parameters estimation algorithm via nonlinear minimization, which is simplified computationally and estimates signal parameters simultaneously.

참고문헌 (6)

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  2. "Some New Signal Processors for Arrays of Sensors IEEE Trans. on Information Theory", it-26, pp.441~453 (1980)
  3. "Applications of antenna arrays to mobile communications Part II Beamforming and Direction of Arrival Considerations", 85(8) (1997)
  4. "IEEE Trans. on Antennas and Propagation", ap-34(3), pp.276~280 (1986)
  5. "ESPRIT estimation of signal parameters via rotational invariance techniques", 37(7), pp.984~995 (1989)
  6. "Artificial neural network for AOA estimation in a multipath environment over the sea IEEE Journal of Oceanic Engineering", 19(4.) (1994)

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