摘要 :
As the target detection environment becomes more and more complicated, passive radar has gradually become the focus of researchers' attention because of its advantage of strong detection concealment. In this paper, we propose the ...
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As the target detection environment becomes more and more complicated, passive radar has gradually become the focus of researchers' attention because of its advantage of strong detection concealment. In this paper, we propose the parameter information estimation method for passive radar by spatial information theory. First, the concept of spatial information is proposed through the Shannon information theory, secondly, the theoretical formula and closed expression for spatial information are derived from the definition of mutual information, finally, the entropy error (EE) in the passive radar is defined to further evaluate the proposed parameter estimation method. We focus on the theoretical derivation of the spatial information quantity, the concept of EE and its relation to the mean squared error (MSE). Then, to demonstrate the performance of the proposed method in passive radar, extensive numerical simulation work is carried out. The results indicate that radar distance information can be quantified by bits, and the EE method is a better choice in low and medium the signal-to-noise ratio (SNR) conditions compared with the traditional MSE method. In this paper, the basic target parameter estimation problem of passive radar is solved, and the spatial information theory system can be further developed and improved in the future.
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A modified sum-of-sinusoids (SoS) channel model for two-dimensional (2-D) non-isotropic scattering environments is presented, which be applied on any single-path channel based on equal probability areas of the angle of arrival (Ao...
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A modified sum-of-sinusoids (SoS) channel model for two-dimensional (2-D) non-isotropic scattering environments is presented, which be applied on any single-path channel based on equal probability areas of the angle of arrival (AoA) and can be generalized to multi-path channels. Its performance can be improved using principle of set partitioning. The auto-correlation function (ACF) of our model is close to the ACF of the reference model, and better than traditional models.
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摘要 :
A modified sum-of-sinusoids (SoS) channel model for two-dimensional (2-D) non-isotropic scattering environments is presented, which be applied on any single-path channel based on equal probability areas of the angle of arrival (Ao...
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A modified sum-of-sinusoids (SoS) channel model for two-dimensional (2-D) non-isotropic scattering environments is presented, which be applied on any single-path channel based on equal probability areas of the angle of arrival (AoA) and can be generalized to multi-path channels. Its performance can be improved using principle of set partitioning. The auto-correlation function (ACF) of our model is close to the ACF of the reference model, and better than traditional models.
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in this paper, we propose a computationally efficient bit allocation algorithm for adaptive modulation in MIMO-OFDM systems. In adaptive modulation, QAMs are often employed. However, square QAMs are more power efficient than recta...
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in this paper, we propose a computationally efficient bit allocation algorithm for adaptive modulation in MIMO-OFDM systems. In adaptive modulation, QAMs are often employed. However, square QAMs are more power efficient than rectangular QAMs. Based on this fact and the characteristic of MIMO-OFDM channels, the algorithm is developed. The complexity of the proposed algorithm is very low and nearly independent to the total transmission rate. This is applauded especially by systems operate with a high signal-to-noise ratio (SNR). Simulation results demonstrate that the algorithm only requires almost the same power as the optimal Hughes-Hartogs algorithm.
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Based on the investigation to classical DOA algorithm (MUSIC and Improved MUSIC), a novel DOA estimation algorithm is proposed which makes full use of signal subspace and noise subspace characteristics. The algorithm can achieve n...
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Based on the investigation to classical DOA algorithm (MUSIC and Improved MUSIC), a novel DOA estimation algorithm is proposed which makes full use of signal subspace and noise subspace characteristics. The algorithm can achieve not only DOA estimation but also information source power estimation. The simulation result reveals that the performance of DOA algorithm is better than that of MUSIC and Improved MUSIC. In the conditions of coherent sources and small snapshot as well as low SNR, the algorithm can still present a favorable DOA estimation performance. Besides, the complexity of this algorithm is not high, and it is easy to carry out. So the algorithm is predominant and robust.
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A novel blind 2D-DOA estimation method in the uniform circular array based on parallel factor analysis is presented in this paper. Oversampled signal of array antennas is processed by fast Fourier transform, and shows that the Fou...
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A novel blind 2D-DOA estimation method in the uniform circular array based on parallel factor analysis is presented in this paper. Oversampled signal of array antennas is processed by fast Fourier transform, and shows that the Fourier transformed signal has trilinear model characteristics. Parallel factor analysis-based DOA estimation algorithm for the uniform circular array is proposed. This algorithm uses the trilinear decomposition to estimate the direction matrix, and employs the direction matrix characteristics and least squares principle to estimate the DOAs. The simulation results reveal that this algorithm has the better DOA estimation performance, and it works well in the small sampling.
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This paper applies wavelet theory to analyze space-time channel. Signals through space-time channel have fractal, singular and multi-resolution characteristics. Space-time channel has fractal characteristic according to dynamics m...
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This paper applies wavelet theory to analyze space-time channel. Signals through space-time channel have fractal, singular and multi-resolution characteristics. Space-time channel has fractal characteristic according to dynamics mechanism of multipath fading. The local singularity exists in received signal through space-time channel according to the suddenly changed channel parameters in the space-time channel. Singularity plays an important role in the channel estimation and signal reconstruction. Received signals through space-time channel have multi-resolution characteristics, because different DOAs correspond to different multi-resolution in the fixed array range. The received signals through space-time channel are regarded as the addition of multi-resolution. Signals through space-time channel are processed with wavelet. Mathematics model of singularity is expressed with Lipschitz exponent. The singularity can be detected with wavelet, and received signals can be reconstructed with wavelet transform. Simulation results reveal that the reconstructed signals with wavelet have better denoising ability. When received signals through space-time channel are processed by wavelet transform the wavelet coefficients under the different scales have self-similarity, which proves that signals through space-time channel have fractal characteristic. Simulation results also prove that signals through space-time channel have multi-resolution characteristic.
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摘要 :
This paper applies wavelet theory to analyze space-time channel. Signals through space-time channel have fractal, singular and multi-resolution characteristics.Space-time channel has fractal characteristic according to dynamics me...
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This paper applies wavelet theory to analyze space-time channel. Signals through space-time channel have fractal, singular and multi-resolution characteristics.Space-time channel has fractal characteristic according to dynamics mechanism of multipath fading. The local singularity exists in received signal through space-time channel according to the suddenly changed channel parameters in the space-time channel. Singularity plays an important role in the channel estimation and signal reconstruction. Received signals through space-time channel have multi-resolution characteristics, because different DOAs correspond to different multi-resolution in the fixed array range. The received signals through space-time channel are regarded as the addition of multi-resolution. Signals through space-time channel are processed with wavelet. Mathematics model of singularity is expressed with Lipschitz exponent.The singularity can be detected with wavelet, and received signals can be reconstructed with wavelet transform.Simulation results reveal that the reconstructed signals with wavelet have better denoising ability. When received signals through space-time channel are processed by wavelet transform the wavelet coefficients under the different scales have self-similarity, which proves that signals through space-time channel have fractal characteristic. Simulation results also prove that signals through space-time channel have multi-resolution characteristic.
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摘要 :
With rapid developments of microwave monolithic integrated circuit (MMIC) and high-speed monolithic analog to digital converter (ADC), digital receiver technology is widely used in modern radio systems. The performance of high spe...
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With rapid developments of microwave monolithic integrated circuit (MMIC) and high-speed monolithic analog to digital converter (ADC), digital receiver technology is widely used in modern radio systems. The performance of high speed ADC has a considerably impact on the performance of the digital receiver which uses direct IF sampling. The ADC error sources, such as, quantization noise, jitter noise and spurious component are introduced, and their effects on dynamic range of digital receiver are analyzed in this paper. The methods to improve the performance of the digital receiver are also discussed.
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摘要 :
With rapid developments of Microwave Monolithic Integrated Circuit (MMIC) and high-speed monolithic Analog to Digital Converter (ADC), digital receiver technology is widely used in modern radio systems. The performance of high spe...
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With rapid developments of Microwave Monolithic Integrated Circuit (MMIC) and high-speed monolithic Analog to Digital Converter (ADC), digital receiver technology is widely used in modern radio systems. The performance of high speed ADC has a considerably impact on the performance of the digital receiver which uses direct IF sampling. The ADC error sources, such as, quantization noise, jitter noise and spurious component are introduced, and their effects on dynamic range of digital receiver are analyzed in this paper. The methods to improve the performance of the digital receiver are also discussed.
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