Cumpound-Gaussian model with the texture of inverse gamma distribution is regarded as one of the best models to characterize the high-resolution sea clutter at low grazing angles. The model parameters are usually esti...
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ISBN:
(纸本)9781538679463
Cumpound-Gaussian model with the texture of inverse gamma distribution is regarded as one of the best models to characterize the high-resolution sea clutter at low grazing angles. The model parameters are usually estimated through moments or maximum likelihood function of sample. The former one is of low precision since the using of high order moments. The latter is difficult to implement due to its high computing complexity. In this paper, a zFlogz estimator is proposed to decrease the order of moments, and an iterative maximum likelihood (ML) estimator is constructed to simplify the computation of ML estimator. The experiments based on simulated and real sea clutter data show that the proposed methods perform better than the method of moments while computing more efficiently than the ML estimator.
Adaptive detection problem of range-spread targets is investigated in generalized Pareto sea clutter. Texture component of non-Gaussian sea clutter is considered to follow inverse gamma distribution in order to match ...
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ISBN:
(纸本)9781538631423
Adaptive detection problem of range-spread targets is investigated in generalized Pareto sea clutter. Texture component of non-Gaussian sea clutter is considered to follow inverse gamma distribution in order to match the non-Gaussian characteristic of clutter. In response to the heavy detection performance loss of adaptive detectors when the secondary data are limited, the persymmetric structure of the covariance matrix is merged into the proposed detector. The proposed adaptive detector can perform better in heavy spiky clutter. Meanwhile, experiments via exploiting simulated data and measured sea clutter data indicate that the proposed detector has superior detection performance, especially for limited secondary data.
A sparse sampling based compensation (SSBC) method is proposed in this letter. The complex amplitudes (CAs) of clutter scatterers, which are larger than the sampling threshold (ST), are sampled along the direction Dop...
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We propose robust space-time interpolation method in presence of the antenna element error in this letter. The proposed method adds the correcting space-time steering vectors constraint around the space-time steering ...
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In this paper, we study two-user time-varying interference channels with limited transmitter cooperation. The transmitters are connected to a central processor via wired cooperation links with individual limited capac...
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ISBN:
(纸本)9781538679463
In this paper, we study two-user time-varying interference channels with limited transmitter cooperation. The transmitters are connected to a central processor via wired cooperation links with individual limited capacities. The capacities of each cooperation link are just comparable to that of each link in the interference channel. We propose a reverse signal-aligned network coding (RSNC) scheme. We prove that our RSNC scheme achieves full degrees of freedom (DoF) by utilizing signal alignment and physical-layer network coding. The main idea of our RSNC scheme is that the transmitted signals are aligned at the receivers by signal alignment and the interfering signals are cancelled with each other by physical-layer network coding (PNC). This idea can be achieved by properly designing the network-coded messages conveyed from the central processor to the transmitters and the precoding matrices of the transmitters. Simulation results verify the performance of our RSNC scheme. The results also show that our scheme outperforms the orthogonal transmission scheme in the two-user case.
The non-linear frequency modulation signal is common and significant in signalprocessing. In order to improve the resolution and energy of its time-frequency representation (TFR), this paper proposed a new time-frequ...
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ISBN:
(纸本)9781538631423
The non-linear frequency modulation signal is common and significant in signalprocessing. In order to improve the resolution and energy of its time-frequency representation (TFR), this paper proposed a new time-frequency analysis method known as the Fourier Transform with the adaptive kernel (AK-FT). According to Weierstrass approximation theorem, nonlinearly time-varying frequency can be expressed in weighted exponential function in a continuous time. The non stationary signal is able to be transferred into the stationary one. The TFR with excellent concentration is produced through the Fourier Transform, and the accuracy of the instantaneous frequency of the non-linear frequency modulation signal is also improved. Compared with the traditional time-frequency analysis, this method can estimate the time-frequency parameters of non-linear frequency modulation signal analysis reliably and precisely.
Parameters estimators for K distribution have a relatively bad performance when the size of samples is small. An estimator based on the Bayesian theory is proposed here based on the prior distribution for the shape pa...
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In this paper, we adress the problem of time delay estimation between signals received at two spatially separated sensors at low signal-to-noise ration levels. By replacing the instantaneous square error in ETDE with ...
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In order to estimate the instantaneous frequency rate (IFR) of a polynomial phase signal (PPS) with arbitrary order, a new kind of transform referred to as L-phase distribution (LPD) is defined. The principle and real...
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The cross-track baseline in InSAR system is very sensitive to terrain fluctuation which is widely used to retrieve the DEM. The cross-track baseline influences the coherence of the radar echoes seriously. In this pape...
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