Abstract:The non-convex problems of the downlink channel can be transformed into the ones of the dual uplink channel in TDD systems by Uplink-Downlink duality so that they are greatly simplified and numerically traced. With Lagrangian duality, the duality on beamforming and capacity region under sum power constraint and per-antenna power constraint are deduced and analyzed respectively. The software package CVX relevant to convex optimization is used to simplify the problem modeling. The analysis shows that uplink-downlink duality is in fact equivalent to Lagrangian duality. The min-max characterization is more general than uplink-downlink duality. The dual beamforming problem under per-antenna power constraint is simulated with MATLAB using iterative algorithm and interior point algorithm. Simulation results show that non-convex problems of the downlink channel can be resolved as a convex problem with Uplink-Downlink duality in the dual uplink channel.

Abstract:One key technique of video analysis is panorama mosaic. Aiming at the two-dimensional projective motion between frames which is used frequently in the video sequence, a mosaic algorithm of video sequence panoramic image was proposed in this paper. Firstly, we estimate motion parameters of adjacent frame by using improved RANSAC-based matching algorithm for feature points. Secondly, the motion parameters between every frame with panorama be adjusted accurately by direct estimation method. Finally, the video sequence panoramic image is rendering by self-adaption median filter. Experimental results show that the proposed algorithm can generate panoramic image with high quality.

Abstract:Range alignment is a key procedure in ISAR (Inverse Synthetic Aperture Radar) imaging. Based on the study of the global minimum entropy range alignment algorithm, an improved range alignment algorithm is put forward according to the subinteger range-bin method and through the analysis on the influence of correlation between echoes on the original algorithm. Range profile blocking scheme and subinteger range-bin alignment method are applied on the presented algorithm. Range profile blocking scheme and subinteger range-bin alignment method improves the accuracy and precision of the original algorithm respectively. The real data processing result shows that this algorithm improves the accuracy of range alignment and hence improves the ISAR imaging quality.

Abstract:Considering the fact that smart antenna can not be applied in TD trunking downlink and the capacity is limited due to the inter-cell interference (ICI), this paper proposes a combination of single-cell joint detection (JD) and decision feedback interference cancellation through partial successive interference cancellation to eliminate interference. By rearranging the total system matrix the accuracy of feedback is insured while the single-cell JD part avoids the expansion of the system matrix dimension, thus weakening the amplification of background noise. The scheme and conventional ICI suppression algorithms are analyzed and compared both in anti-interference ability and complexity. Simulation results verify the effectiveness and robustness of the scheme under a variety of multipath channels.

Abstract:The Electromagnetic properties of the runways structure are important and meaningful for the quality surveillance, timing maintenance of runways and the correct location of the target underground. The inversion method of the dielectric property and thickness of multilayer media is studied in this paper. Based on the conventional system identification method, the construction of the propagation model and the estimation method of time delay of the echoes are modified in the new method proposed in this paper. The new method considers the relationship of the image part of the permittivity and frequency, and introduces WRELAX method to estimate the time delay of the echoes. The electromagnetic properties and thickness of the runways structure containing the thin layer can be calculated and the estimation precision is improved compared with the conventional system identification method.

Abstract:For dealing with the problem that the estimate result of EKF is affected severely by the covariance matrices of noises, a new method using adaptive kalman filter(AEKF) to estimate simultaneously load torque and speed of motor is presented. while the speed and load torque are estimated，the input noise and noise introduced by modeling error are merged into an equivalent state noise in the augmented model of motor；Based on the transformed model, the covariance matrices of state noises are estimated using state predict residuals and the covariance matrices of observation noises are estimated using the measure residuals, then the adaptive diversification of the covariance matrices of noises are implement. The experimental results show that the estimate results are not affected by the given initial value of the covariance matrices of noises, and have high accuracy.

Abstract:In order to improve the comprehensive performance of portable media player video decoding, this study is optimal design of MPEG-4 video decoding system Based on embedded NiosII soft-core. To put forward the design scheme of software and hardware co-design in SOPC. By studying hardware IP cores optimized design and implementation of the two-dimensional inverse discrete cosine transform, motion compensation, color space conversion, a video decoding system in hardware and software co-design was build based on NiosII soft-core. As the core for model EP2C35F672C8 of Altera FPGA chip in SOPC system test，and the results show that the bit rate of the test stream is 1593.90 kbps, the frame rate can be achieved 35.20 frames per second at the operating frequency only 100MHz. It is good to achieve a real-time decoding of MPEG-4. The SOPC software and hardware co-design realize the player with the low power consumption and high performance.

Abstract:Analytical redundancy relations (ARRs) are used frequently in the arena of diagnosis as well as optimizing, analyzing, and validating of sensors of the system, but less attention has been paid to the development of systematic and efficient approaches for the generation of complete ARRs set. Hereto, an efficient method named successive elimination is presented. Based on the primary relations (PRs) of system, this method generates complete ARRs set as well as consequent hypothetical signature matrix (HSM) by several elimination loops. On the strength of HSM, the optimal sensor placement problem is mapped onto a special case of the 0-1 integer programming (IP) problem, which is solved by an algorithm of branch-and-bound in the end. Application results show that this method can decrease sensor number and testing cost without decreasing FDR and FIR and it’s beneficial to the sensor placement problem for fault diagnosis.

Abstract:The pulse situation is a kind of biological signal that can be detected during the dynamic process in human body circulation system. In order to obtain more pulse information, the mathematical model of the space measurement principle has been established according to the characteristics of the thin film grid in the pulse image sensor, which is build on the self-developed pulse image sensor with monocular vision. The corners of pulse image in each successive frame are tracked and matched by the corner detection algorithm Harris, and the three-dimensional information of the pulse situation is reconstructed. The pulse images of the normal pulse, the slippery pulse, the slow pulse and the soft pulse were obtained and analyzed by experiment. The three-dimensional reconstruction of the pulse image is realized. It has laid a foundation to extract more features that characterize the pulse states in the space-time domain.

Abstract:To solve the low estimation accuracy of MQAM signal-to-noise (SNR) estimate under the low SNR condition, an improved SNR estimation algorithm based on comprehensive utilization of higher-order statistics is proposed. According to the difference between the topmost rank of the higher-order statistics, the linearity relationships of three kinds of SNR and various higher-order statistics expression are created, which are converted to three kinds of whole regression patterns with a whole regression linear analysis method, and the pattern coefficients are solved. It can fully use the useful information of the higher-order statistics, and increase the accuracy of SNR estimate. Simulation results show that under the low SNR condition the new algorithm can get less SNR estimating errors and obviously better estimation performance than traditional algorithms. Moreover, the estimation performances of three kinds of patterns increase in turn, and it can carry on a selection to three kinds of patterns according to the different SNR request.

Abstract:Since radar signals are modulated by rotor blades shadowing and helicopter vibration, the helicopter-borne synthetic aperture radar imaging is difficult. Modulation reasons are analyzed and investigated based on time-frequency method. The modulation phase errors are extracted from the dechirped data and then compensated to remove modulation. Subsequently the phase gradient autofocus is performed to achieve high quality SAR image. This method has great reference value to the helicopter-borne SAR imaging.

Abstract:This paper studies the symmetric extension applying in true two-dimensional even symmetric biorthogonal wavelet transform. According to the characteristic of true 2-D wavelet filter banks and symmetric extension, deduce the formula of four sub-band after wavelet decomposition. These formulas summarize the original data of any start point and any length at multi-level decomposition, obtain the cycle and symmetric relation of the four sub-band. Finally, take a true 2-D 5/3 wavelet transform as an example to illustrate the practical application of specific methods.

Abstract:The novel satellite navigation system is the self-manufactured system by China. Its leading feature is to suppress interference in the MIMO system. In this paper, an anti-interference algorithm of the half-blind MIMO channel in the novel satellite navigation system, employing MATLAB, is proposed. The anti-interference performance of the half-blind channel is compared to that of the all-known channel under the conditions of changing the location of the interference, changing the number of the receive antennas and changing the array pattern. The simulation results reflect the practicability and superiority of the half-blind channel anti-interference algorithm.

Abstract:IIn this paper, a digital pulse compression filter design method based on SOCP( second order cone programming) is proposed to control the high side-lobe level in LFM signal pulse com- pression.The design of pulse compression filter is converted to a second-order cone programming problem, with a specific main-lobe shape being selected as expected and sidelobe level being con- troled. Compared to those methods in literature, this method obtains a flexible compromise betwe- en PSL(peak-side lobe level), main-lobe width, the loss in process gain. Simulation results suggest that the method proposed takes an advantage of side-lobe control over conventional window meth- ods, the PSL is 44dB yet the unitary Doppler is 0.005,and pulse compression signal’s phase is con- herent with reference reponse,they meet the requiremens of modern radar systems．

Abstract:To address the problem of time and frequency offset estimation for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, a joint time and frequency synchronization algorithm based on constant amplitude zero auto correlation (CAZAC) sequences is proposed. The synchronization preamble consists of two training symbols with the same length. At the receivers, cross correlations between two local sequences and the received signal are calculated respectively, utilizing the unique properties of CAZAC sequences to detect the time offsets and integer frequency offsets of all the transmitter and receiver pairs. After compensating for the integer frequency offsets, fractional frequency offsets are obtained using the relationship between the two training symbols. Analysis and simulation results demonstrate that the proposed method not only has a significantly higher synchronization probability than conventional algorithm but also can estimate the frequency offsets of all the transmitter and receiver pairs.

Abstract:For the intelligent video surveillance system, a motion object retrieval match approach combining with the gray histogram and self-casting histogram is proposed in this paper, which can detect the object with abnormal direction of motion rapidly. This method uses the feature combined with the gray histogram and self-casting histogram to rapidly detect and match the object among crowds; uses the motion history record list of object centroid to continuously record the centroid of object and its motion direction; and compares the motion direction to find the abnormal object among moving crowds. The experiment result shows that, compared with method only employing the information of gray histogram, the accuracy of detection is improved after introducing object self-casting histogram, meanwhile, the motion history record list is fully qualified to record the motion information of moving objects. This method has less calculating complexity and good robustness against objects covered by each other during their movement by recording the speeds of centroid motion.

Abstract:Classical location algorithms for ground target using twin-radar system are nonlinear estimation problems. But the inherent error of measurement data results in low positioning accuracy of location algorithm based on nonlinear estimation.In this paper, a new location algorithm is developed,which transforms measurement data into geometric figures and locates targets using geometry analytic method.All factors that can effects on positioning accuracy in all kinds of cases are analyzed.The algorithm has advantages of small calculation,high long-distance positioning accuracy and so on..Finally,the simulation results are given to illustrate that the algorithm has obviously good performance on improving positioning accuracy.

Abstract:According to the mutli-stage traits of manufacturing process of hot-rolling strip, a genetic neural network model with high-dimension multi-input layers is built in this paper to predict the product’s mechanical property. This model can be seen as the result of adding input node to some hidden layers of neural network according to the conducting order of technological process, so that it can simulate the manufacturing process much better. Meanwhile, In order to avoid local extreme point caused by standard BP algorithm, genetic algorithm is adopted in this paper to conduct global pretreatment for weights and thresholds of neural network. Then standard BP algorithm is used to do the training to compensate mutually both advantages and disadvantages, and thereby get global optional solution. Finally, testing results given by the actual manufacture date of hot-rolled products from an iron and steel enterprise show that the predicted result satisfies the requirement of demand. Moreover, it has higher accuracy and stability than classic BP and RBF neural network..

Abstract:The generalized demodulation time-frequency analysis approach is a new signal processing method, In this paper,it is introduced and applied to the decomposition of the multi-composition signals whose frequency is time-varying.For the generalized demodulation time-frequency analysis method ,the improvement has been completed and the method by which the multi-component signal can be decomposed is given .The problems of the method of how to get the phase function and how to obtain the ideal time-frequency distribution by the generalized demodulation time-frequency analysis approach used in the single-component signals got from the original signal are analyzed.The simulation experiment results demonstrate that by using this method not only the time domain wave of the single-component signals in the original signal can be obtained but also the same time-frequency distribution can be got, and an effective method is provided for multi-composition signals whose frequency is time-varying.

Abstract:Single-leadSECG monitoring is to facilitate being miniaturized, being used home and used as a Holter. Some of the abnormal electrode patterns, such as electrode loosened, different electrodesSbeing used, etc, whichScan heavily affect the ECG signalSquality, evenSresulting in wrong diagnosis. Artificial identification of the electrode patterns depends on theSperson"s experiences. In this paper, theSautomatic identificationSmethod for four kinds ofSelectrodeSpatterns in single-leadSECG monitoring is studied:S(1) first, 8 digital indices for distinguishing different electrodeSpatterns are defined, (2) second, theSLDA-basedSfeatureSdimension reductionSand theSnearest neighbor classifier are adopted to complete the identification process.SExperiments showSthat the proposedSautomatic identification methodSof different electrode patterns in single leadSECGSmonitoringSwas effective, with 100%Ssuccessful identifying rate for electrode being loosened.