Xin Bi

An adaptive interacting multiple model for vehicle target tracking method

In the field of traffic safety vehicle target tracking prediction as the background, this paper proposes an adaptive interacting multiple model tracking algorithm. According to the field of transportation vehicle movement state characteristics, based on the uniform (CV) and uniformly accelerated motion (CA) model, based on new information structure model of motion of the likelihood function, online adaptive adjustment model of the noise variance and the Markov matrix, realization of maneuvering target movement model and model set adaptation, not only improved IMM algorithm for tracking accuracy, and enhances the real-time performance of system, the simulation results show that, the algorithm for tracking precision compared to the traditional IMM method has bigger improvement.

High bandwidth memory interface design based on DDR3 SDRAM and FPGA

This work presented the high bandwidth memory interface design based on DDR3 SDRAM using external memory IP core provided by FPGA devices. The structure and configuration of IP core was introduced and the simulation on soft and hard IP was carried out with the access controller designed. The maximum transmission bandwidth of the memory interface based on the soft and hard IP respectively reached 19.2Gbps and 25.6Gbps. Finally, the reliability of the interface controller was verified by downloading the program to the DAQ board and observing the internal signals.

Simulation and Analysis of DDR3 Bus Based on Fly-By Topology with Cadence

For the requirements of different bus signals from high speed PCB with DDR3 components based on fly-by topology structure, coping strategies have been proposed respectively. For the address or command bus, a leveling-free strategy has been proposed. It shows that the phase difference can be nearly zero through reasonable constraints on PCB design. The strategy was applied to the clock bus and achieved good performance, combining with the rules of signal integrity. For the data bus, the timing sequence on source synchronous has been analyzed and the time margin was calculated. The reasonability of the design was verified through the simulation result with Cadence.

Design and Realization of Universal Radar Signal Processing Software

As parallel signal processing tasks are more and more widely used, a universal, efficient and flexible radar signal processing software is urgently needed in the field of radar signal processing. Traditional development of parallel signal processing needs a large number of specialized programs, and must couple with the hardware platform. Therefore, the cost of development and promotion is quite large. The universal radar signal processing software designed in this paper is an integrated development environment to achieve fully graphical, generalized, and modularized development. The software is able to automatically generate codes. This function replaces traditional developing method that needs designers write a large number of programs. The above function significantly shortens the developing cycle and improves the developing efficiency. Besides, the software is of powerful debugging features. Furthermore, the software has excellent generalization and expansibility for hardware platform.

Modeling and Simulation of Urban Arterial Traffic Signal Coordinated Control

Traffic congestion is a major concern for many cities throughout the world. Developing a sophisticated traffic monitoring and control system would result in an effective solution to this problem. In order to reduce traffic delay, a novel urban arterial traffic signal coordinated control method is presented. The total delay of downstream and upstream vehicles is considered and the function describing the relationship between vehicles delay and signal offset among intersections is established. Finally, comparing the performance of traffic signal under method proposed in this paper with the traditional isolated traffic signal control method, the microscopic simulation results show that the method proposed in this paper has better performance in the aspect of reducing the vehicles delay. The offset model is tested in a simulation environment consisting of a core area of three intersections. It can be concluded that the proposed method is much more effective in relieving oversaturation in a network than the isolated intersection control strategy.

Design and Optimization of Urban Signal Fuzzy Controller Based on IQPSO

In order to overcome the shortcomings of traffic signal fixed-time control method, a fuzzy control algorithm for urban traffic signal is proposed. The signal phase switching order is adjustable. The improved quantum particle swarm optimization(QPSO) is also introduced to optimize fuzzy control rules of traffic signal controller. Take four-phase traffic signal commonly used in current practice for example. Compared with traffic signal fixed-time control and single fuzzy control method, the control method put forward in this paper can reduce the vehicles’ average delay time in junction. The simulation results show that the proposed algorithm is proved to be an effective and practicable method for urban traffic self-adaptive control.

Research on Millimeter-Wave Radar Based Automotive Lateral Anti-Collision Warning System

According to the reasons and features of car accidents happening in vehicles’ side areas, this paper designed and developed a kind of automotive lateral anti-collision warning system by frequency modulation continuous wave, based on the research on 24GHz linear frequency modulation continuous wave radar-probing system. The system designed in this paper will forecast the potential danger to drivers and avoid the accidents. The hardware structures, algorithm, program flows and working patterns of the warning system were introduced. Furthermore, pointing to the problem of false alarms, a kind of filtering method was presented creatively. This method improved the reliability of the warning system and the accuracy of the forecast. It filtered the disturbance coming from the side of the vehicles, and solved the difficult problem that prevented the millimeter-wave radar from being applied in automotive lateral anti-collision warning system. Finally, the experiment was designed and carried out. The result verified the rationality of the solution and the practicality of the system’s function.

Research on Motion Compensation for Airborne SAR Interferometry System

Deviation from definitive flight path of a plane fixed a synthetic aperture radar (SAR) leads to inaccurate and defocused radar images, which has serious effect on the SAR interferometry (InSAR) processing. Therefore, the precise motion compensation (MOCO) for the airborne SAR interferometric data is the key to obtain high quality digital elevation model (DEM).The position and orientation system (POS)-based residual motion error compensation method is designed. Considering the precision of POS, there will be residual motion error after the POS-based MOCO, which have serious effect on the interferometric phase, especially the residual baseline errors. To solve the above problem, this paper proposed an enhanced multi-squint processing based model to estimate the residual baseline errors. This method can decrease the influence of data decorrelation and baseline error varying with range, and dramatically improve the measuring accuracy of InSAR.

Millimeter Wave Radar for Automotive Blind Spot Detection System

Considering the problem of rearview mirror blind spot during driving, the paper studied and designed the blind spot detection system based on MMW radar. Radar was installed at an appropriate position on the detection target signal by transmitting, when another car enter the detecting area, the small alarm light beside A pillar would shine or alarm few times, to remind drivers careful change road. And the effect would not effect by weather or time. For the radar sensor application environment, triangle wave LFMCW can effectively solve the speed from the coupling phenomenon. The paper showed experimental and simulation data.