Abstract: Cognitive radio can make full use of idle spectrum for data transfer, and therefore improve the spectrum utilization. Sparse channel estimation explores the sparse property of wireless channels, which reduces the pilot overhead and further improves t...
Abstract: In a valid cognitive radio system, the requirement for real-time spectrum sensing in the case of lacking priori information of primary user, fading channel and dynamically varying noise level, indeed poses a major challenge to the classical spectrum ...
Abstract: A joint random sensing policy is proposed by using the inactive secondary users in the cognitive network, which is different from previous cognitive radio sensing researches. The policy is proposed due to the uncertainty of primary users states and t...
Abstract: To solve the problem of that the wireless physical layer secrecy coding can not achieve strong security while the legal channel is noisy, a strong security coding method is proposed based on partitioning coset. First, it is proved that if and only if...
Abstract: The suboptimal and optimal adaptive transmit power allocation algorithms are proposed to minimize the Bit Error Rate (BER) performance for Turbo-BLAST system with channel feedback delay. The conditional probability density function of the instantaneo...
Abstract: A direct blind recovery method based on SemiDefinite Relaxation (SDR) technique is proposed to detect Short Burst Data (SBD) signals in cooperative relay networks. Without channel state information and signal statistics information, SBD sequences can...
Abstract: Opportunistic Distributed Space-Time Coding (O-DSTC) is a new type of cooperative communication. In the guarantee of the Symbol Error Rate (SER), the residual energy balanced cooperative partner selection algorithm of O-DSTC is presented based on the...
Abstract: This paper presents an approach for analysis of coverage time and handoff number on the mobile LEO satellite communication systems, which fully reflects the random distribution characteristics of the users. Based on the distribution of the user locat...
Abstract: The national TV industry standard AVS+, which faces the demand of 3D and high definition, got a high progress in coding efficiency, but it also increases complexity. Parallel coding technique is an efficient solution to deal with high-complex encoder...
Abstract: A novel Multiple Description video coding scheme is proposed based on Predictive Error Resilience (MD-PER). At the encoder, the possible error caused by the single-channel reconstruction can be predicted firstly, and then the necessary redundancy inf...
Abstract: JPEG-LS is suitable for the field of lossless/near-lossless image compression because of its simple algorithm and high performance. However, it is difficult for JPEG-LS to control precisely the bit rate, which makes it hard to be applied to bandwidth...
Abstract: The pseudoranness of the Lai-Massey schme is studied in this paper. First, itis proved that if is an affine almost orthomorphism, 3-round Lai-Massey scheme can not reach the pseudorandomness, which is a counterexample of the Lai-Massey scheme designe...
Abstract: Designing measurement matrix is one of the key points of applying Compressed Sensing (CS) to solve practical issue. In this paper, a kind of probabilistic sparse random matrix is designed for compressive data gathering in Wireless Sensor Networks (WS...
Abstract: On the basis of the low-rank characteristic of the Internet latency matrix, the in-complete latency matrix completion problem in full-decentralized environment is studied through setting a priori estimation of the l0 norm of this matrix. First, the p...
Abstract: Multivariate Time Series (MTS) are used in very broad areas such as medicine, finance, multimedia and so on. A new method for similar pattern matching is proposed based on 2D Singular Value Decomposition (2DSVD). 2DSVD is an extension of standard SVD...
Abstract: To solve the issues of the low detection performance and high computational complexity of the available initial ranging algorithms for Orthogonal Frequency Division Multiple Access (OFDMA) systems, a low- complexity initial ranging algorithm with ite...
Abstract: The time-varying characteristics of radio frequency signal make it difficult to practice multi-object Device-Free Localization (DFL). A novel algorithm based on compressive sensing and fingerprint method is proposed to locate bi-object in this paper....
Abstract: In order to solve the issue that carrier frequency estimation of time-frequency overlapped signals is difficult in Alpha-stable distribution noise environment, a novel carrier frequency estimation method of the time-frequency overlapped signals is pr...
Abstract: Stereo video technology provides depth perception and immersion visual experience, but it also makes people feel visual fatigue and causes the decrease of the experience quality. Therefore, how to evaluate the visual comfort of stereoscopic image/vid...
Abstract: The self-training based discriminative tracking methods use the classification results to update the classifier itself. However, these methods easily suffer from the drifting issue because the classification errors are accumulated during tracking. To...
Abstract: A Probabilistic Neural Network (PNN) based on Particle Swarm Optimization (PSO) is proposed for ballistic target recognition due to its difficulty in this paper. The fusion of multispectral infrared data is achieved through the use of this method. Fi...
Abstract: Dual-channel SAR system and single-look InSAR system are characterized by strong anti-interference capability. In this paper, a countermeasure method against dual-channel cancellation is proposed based on two jammers, the principle of dual-channel ca...
Abstract: An improved four-component decomposition method is proposed based on Polarimetric Interferometric Similarity Parameter (PISP). This method can solve the vegetation component overestimation problems with traditional polarimetric SAR decomposition. The...
Abstract: The Medium-Earth-Orbit SAR (MEOSAR) is one of the potential next-generation spaceborne SARs. Ionospheric effects analysis is one of the critical techniques for the development of MEOSAR. An analysis model for background ionospheric effect on MEOSAR i...
Abstract: Squint Terrain Observation by Progressive Scans (TOPS) SAR imaging mode is confronted with three issues: azimuth spectrum aliasing, severe range-azimuth coupling and azimuth time output aliasing. To solve these issues, a subaperture imaging algorithm...
Abstract: Considering the sparsity of the frequency-aspect backscattered data in the attributed scattering center model parameter domain, a novel method based on sparse representation is proposed to extract attributed scattering center and estimate parameters ...
Abstract: The Fourier Transform Pairs (FTP) between the image domain and its corresponding range-compressed phase history domain is critical for autofocus. Different from the frequency-domain algorithms, this requirement of FTP is both complicated and difficul...
Abstract: In Through-the Wall Imaging (TWI), wall reflections are often stronger than the target, hence they make great interference on the imaging and detection of the target. Spatial filtering based on single input and single output is a traditional method f...
Abstract: A new central angle estimation method of the coherently distributed sources for bistatic MIMO radar is proposed based on second virtual array aperture extension. Firstly, the bistatic MIMO radar data model for the coherently distributed sources with ...
Abstract: In order to enhance the performance of estimating range-Doppler parameters in presence of mismatch error between sensing matrix and target information vector for Compressive Sensing Radar (CSR), a robust blind sparsity target parameter estimation alg...
Abstract: Wide Area Surveillance Ground Moving Target Indication mode is an important mode in surveillance radar systems since it can monitor extensive area in a short time, which enables moving target tracking. A method for tracking ground moving targets base...
Abstract: A new SAR image partition model is constructed based on 8-neighbor grid code, which is fast solved by region merging. Utilizing multi-direction ratio edge detector to construct Ratio Edge Strength Map (RESM) of SAR image, a novel thresholding method ...
Abstract: A low-rank constraint eigenphone speaker adaptation method is proposed. Original eigenphone speaker adaptation method performs well when the amount of adaptation data is sufficient. However, it suffers from server overfitting when insufficient amount...
Abstract: The passive detection and location of the underwater target can be realized by using a single three-axis seismic sensor. In order to increase the resolving capacity in merely using the condition of only deploying single Ocean Bottom Seismometer (OBS)...
Abstract: In order to locate the underwater robot in the pools of the nuclear power plant, the scan sonar is used. First, the signal characteristics of the scan sonar are analyzed, and the preprocessing method of sonar is used to reduce signal interference and...
Abstract: For the increasing requirements of ultra long sequences FFTs efficient implementation in application systems, an implementation method is proposed to realize ultra long sequences FFT. The method can solve resources limitation of existed processing pl...
Abstract: With only considering the impact of neighborhood pixels, the traditional Bayesian segmentation method based on Markov Random Field (MRF) can not suppress the speckle noise effectively. In the traditional priori model, the influence of each pixel with...
Abstract: Data compression is an effective measure to save the costs of data transmission and storage. A new and effective bit-recombination mark coding method that can be used to lossless data compression is proposed for the integer data sequence which has a ...
Abstract: A Syndrome-assisted list decoding algorithm for BCH codes of B1I navigation signal in China Beidou Satellite navigation system is proposed. First, error pattern lists are built based on syndrome and Hamming weight. Then, the syndrome of hard-decision...