This paper presents the Cramer-Rao Bound (CRB) of time-difference-of-Arrival (TDOA) estimation for frequency-hopping (FH) signals, which has still not been reported in the open literature. The CRBs are derived in clos...
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This paper proposes a method to identify the hybrid modulation signals. Firstly, the method utilizes instantaneous frequency (IF) of signals combined with histogram to classify conventional signals and hybrid modulati...
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ISBN:
(纸本)9781849199940
This paper proposes a method to identify the hybrid modulation signals. Firstly, the method utilizes instantaneous frequency (IF) of signals combined with histogram to classify conventional signals and hybrid modulation signals. Then an improved signal segmentation method is used to resolve the hybrid modulation signals to conventional signals. Experimental results show that the proposed method can identify seven kinds of typical radar signals, and achieve 94% recognition accuracy when SNR is 3dB.
Aiming at the technology of target detection based on broadcasting satellite passive radar. This paper presents the characteristic of broadcasting satellite signals and its ambiguity function. Calculates the maximum d...
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ISBN:
(纸本)9781467391672
Aiming at the technology of target detection based on broadcasting satellite passive radar. This paper presents the characteristic of broadcasting satellite signals and its ambiguity function. Calculates the maximum detection distance by analyzing the power loss and the gain of signal processing. Demonstrates the necessity of depressing the direct satellite signals. The conclusion of this paper is: The broadcasting satellite signal is suitable for passive radar target detection. The detection distance can achieve 100km with 36MHz signal bandwidth, 60dB gain of antenna, Is integrated time. Appropriate methods is necessary to depress the direct wave received from the side lobe of echo antenna. The possibility of this target detection method is proved by the experiment results in this paper.
In this paper,we introduce the Auto-Annotation LDA models(aa LDA),a statistical model of non-labeled *** model generates the annotation of LDA *** derive the annotation of LDA using a k-means methods combined with a p...
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In this paper,we introduce the Auto-Annotation LDA models(aa LDA),a statistical model of non-labeled *** model generates the annotation of LDA *** derive the annotation of LDA using a k-means methods combined with a pre-processing of the *** this paper,we use aa LDA models to categorize "zhongwenshilei" corpus,which is a famous Chinese *** we make a compare with the traditional LDA methods.
Random numbers and sequences are widely used in various areas, especially the cryptography for information security. Statistical randomness test is used to evaluate the deviation from randomness. There are lots of sta...
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ISBN:
(纸本)9781467391672
Random numbers and sequences are widely used in various areas, especially the cryptography for information security. Statistical randomness test is used to evaluate the deviation from randomness. There are lots of statistical randomness tests. However, most of the randomness tests focused on the number of occurrences of pre-specified pattern, and lost the information of the distribution of occurrence position. Hence, in this paper, I proposed a new test focusing on the distribution of occurrence position of pre-specified pattern, and proved it by mathematical method. The experimental results show that there has a consistency between the new test and NIST test suite, and in the sense of the distribution of occurrence position of the pre-specified pattern, the new test has advantage over the NIST test suite.
Overlapping signal separation in spectrum is a difficult problemWe use Gamma Mixture Model to formulate the distribution of signal power in each frequency bin of digital phosphor technology(DPX) spectrumThen Expectati...
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Overlapping signal separation in spectrum is a difficult problemWe use Gamma Mixture Model to formulate the distribution of signal power in each frequency bin of digital phosphor technology(DPX) spectrumThen Expectation Maximization(EM) Algorithm is used to solve the modelSimulation results show that when CIR is greater than 2.7d B, parameters' estimation error rate of this algorithm is less than 1e-5.
The distributed radar system is a solution to detect small targets in the *** how to effectively accumulate the received signals from different radar stations is a challenging *** signals influenced by different time-...
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ISBN:
(纸本)9781510805750
The distributed radar system is a solution to detect small targets in the *** how to effectively accumulate the received signals from different radar stations is a challenging *** signals influenced by different time-delay,Doppler frequency and reflection coefficient will have different phases before *** this thesis,we study the phase compensation methods to eliminate the effects caused by these factors.
Due to the decrease of azimuth resolution and array gain, the performance of small aperture over the horizon radar (OTHR) is not as good as the conventional OTHR. Therefore, it is necessary to find a new method to imp...
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ISBN:
(纸本)9781467390996
Due to the decrease of azimuth resolution and array gain, the performance of small aperture over the horizon radar (OTHR) is not as good as the conventional OTHR. Therefore, it is necessary to find a new method to improve array performance of small aperture OTHR to satisfy the requirements of target detection. In this paper, conclusions on the performance losses are obtained by deducing the expression of signal to clutter ratio (SCR) under small aperture OTHR receiving condition. Based on the conclusions, Hyper Beam, which is derived from sonar array processing, are applied to improve the performance of small aperture OTHR. Eventually, experimental simulations are given to verify our conclusions.
Focus on the problem of reconstructing LDPC codes in a noisy environment, an algorithm based on Column Elimination Operation, Parity-Check Vector Judgment Criterion and Gradual Row Transformation is proposed, which is...
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Focus on the problem of reconstructing LDPC codes in a noisy environment, an algorithm based on Column Elimination Operation, Parity-Check Vector Judgment Criterion and Gradual Row Transformation is proposed, which is used to blind recognize LDPC codes. This algorithm first gets enough dual vectors of the receive codes, then selects real parity-check vectors of the dual-space of LDPC codes, and then, detectives and deletes the error code words. The above steps are iteratively carried out until the original problem is reduced to an easier problem, i.e., blind recognition LDPC codes in an error-free context, and finally obtain the sparse parity-check matrix by using Gradual Row Transformation. The simulation and experiment results show that, this algorithm fits most of LDPC standards, including 802.16 e, 802.11 n, DVB-S2, GJB7296, GB20600, etc., and it is an effective solution for LDPC codes blind recognition in a noisy environment.
As well-developed social networking services collect rich location data of mobile users, it becomes interesting for measuring the mobility relationship strength. The state-of-the-art measure for such relationship is P...
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ISBN:
(纸本)9781479999620
As well-developed social networking services collect rich location data of mobile users, it becomes interesting for measuring the mobility relationship strength. The state-of-the-art measure for such relationship is Personal, Global and Temporal factors (PGT) method, which calculates personal and global background in the spatial domain. We argue that meeting events differentiate from each other not only in the spatial domain, but also in the temporal domain. Accordingly, a novel method called PGST for measuring the mobility relationship is proposed. Additional time differences are introduced into the personal and global factors. Thus, background effects of location and time are removed from primitive meeting events. Experiments on real dataset suggest that our method significantly outperforms the state-of-the-art methods.
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