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In this study, an advanced InSAR time-series analysis technique was applied to obtain the ground subsidence result in Hong Kong International Airport with 29 TerraSAR-X SpotLight images. In oder to improve the accuracy of monitoring points and the quality of both interferogram and coherence, the NL-InSAR filter is adopted in this processing framework. The result demonstrates the great prospects of...
The multiple carrier frequency offsets (CFOs) of multiple users make frequency synchronization a challenging task in the orthogonal frequency-division multiple-access (OFDMA) uplink. In this paper, a computationally efficient iterative CFO estimation and compensation method for the OFDMA uplink with the generalized subcarrier allocation scheme (CAS) based on the tile structure of IEEE 802.16e is proposed...
Congestion control is critical for the provisioning of quality of services (QoS) over dedicated short range communications (DSRC) vehicle networks for road safety applications. In this paper we propose a congestion control method for DSRC vehicle networks at road intersection, with the aims of providing high availability and low latency channels for high priority emergency safety applications while...
In MB-OFDM-based UWB systems, the different CFOs for different bands can be obtained by only estimating the OFO. To achieve OFO estimators with wide estimation ranges, we benefit from the certain relationship between the different CFOs. The OFO is attained by estimating the CFO difference and the correlations between different bands are used. The estimator I for the TFC 1 to 4 derives the BLUE estimator...
The paper proposes a new iterative method to estimate the carrier frequency offset (CFO) with scattered pilot symbols inserted for channel estimation in orthogonal frequency division multiplexing (OFDM) systems. Assuming that the channel remains constant during a few consecutive OFDM blocks, the new method uses the correlations of the pilot symbols in these consecutive OFDM blocks. And an iterative...
Adaptive noise cancellation (ANC) is used widely to reduce noise from a noisy speech sound. However the least-mean-square (LMS) algorithm and its variants, such as the normalized (N)LMS, the modified (M)-LMS and the constrained stability (CS)-LMS algorithms do not perform well in ANC since the desired speech signal has a bad effect on the convergence rate and steady state misadjustment of these algorithms...
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