DOA and Phase Error Estimation for a Partly Calibrated Array With Arbitrary Geometry

With the rise of Bayesian methods in crystallography, the error estimates attached to estimated phases are becoming as important as the phase estimates themselves. Phase improvement by density modification can cause problems in this environment because the quality of the resulting phases is usually overestimated. This problem is addressed by an extension of the γ correction [Abrahams (1997). Acta Cryst. D53, 371–376] to arbitrary density-modification techniques. The degree to which the improved phases are biased by the features of the initial map is investigated in order to determine the limits of the resulting procedure and the quality of the phase-error estimates.

Download Full-text

An Adaptive Phase Tracking Scheme of OFDM Wireless Communication System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.336-338.1798 ◽

2013 ◽

Vol 336-338 ◽

pp. 1798-1803

Author(s):

Qian Du ◽

Wen Wu Xie

Keyword(s):

Kalman Filter ◽

Wireless Communication ◽

Channel Estimation ◽

Error Estimation ◽

Communication System ◽

Phase Error ◽

Basic Structure ◽

Adaptive Kalman Filter ◽

Phase Tracking ◽

New Phase

This paper proposes a new phase tracking algorithm for the 802.11a system. Since this system illuminates the basic structure of 802.11a system, and introduces the OFDM frame generation principle based the transmitter, phase error estimation and channel estimation. On the basis of this, this paper presents a phase tracking scheme based on adaptive Kalman filter, and then simulates the process based on 802.11a system. The result indicates that the BER has been improved because of this adaptive phase tracking scheme.

Download Full-text

Data Acquisition Phase Error Estimation and Correction in Tomographic Acoustic Microscopy

Acoustical Imaging ◽

10.1007/978-1-4613-0791-4_13 ◽

1989 ◽

pp. 131-141 ◽

Cited By ~ 3

Author(s):

Hua Lee ◽

Richard Y. Chiao

Keyword(s):

Data Acquisition ◽

Error Estimation ◽

Phase Error ◽

Acquisition Phase ◽

Acoustic Microscopy ◽

Estimation And Correction

Download Full-text

Strip-Mode Microwave Staring Correlated Imaging with Self-Calibration of Gain–Phase Errors

Sensors ◽

10.3390/s19051079 ◽

2019 ◽

Vol 19 (5) ◽

pp. 1079 ◽

Cited By ~ 1

Author(s):

Rui Xia ◽

Yuanyue Guo ◽

Weidong Chen ◽

Dongjin Wang

Keyword(s):

Error Estimation ◽

Phase Error ◽

Super Resolution ◽

Image Splicing ◽

Initial Value ◽

Self Calibration ◽

Phase Errors ◽

Imaging Model ◽

Multiple Imaging ◽

Imaging Performance

Microwave staring correlated imaging (MSCI) can realize super resolution imaging without the limit of relative motion with the target. However, gain–phase errors generally exist in the multi-transmitter array, which results in imaging model mismatch and degrades the imaging performance considerably. In order to solve the problem of MSCI with gain–phase error in a large scene, a method of MSCI with strip-mode self-calibration of gain–phase errors is proposed. The method divides the whole imaging scene into multiple imaging strips, then the strip target scattering coefficient and the gain–phase errors are combined into a multi-parameter optimization problem that can be solved by alternate iteration, and the error estimation results of the previous strip can be carried into the next strip as the initial value. All strips are processed in multiple rounds, and the gain–phase error estimation results of the last strip can be taken as the initial value and substituted into the first strip for the correlated processing of the next round. Finally, the whole imaging in a large scene can be achieved by multi-strip image splicing. Numerical simulations validate its potential advantages to shorten the imaging time dramatically and improve the imaging and gain–phase error estimation performance.

Download Full-text