He Songhua

A new data extrapolation algorithm with application in guidance and target recognition

A new data extrapolation algorithm is presented for guidance and target recognition application. The algorithm firstly uses DFT or FFT computation of L points data of response over band (f/sub o/,f/sub o/+/spl Delta/F) to obtain the rough outline of target range profile. Then a CFAR detector is used to obtain the structure window function X/sub w/(e/sup j/spl omega) and its IFT series X/sub w/(l) and several filtering functions {H/sub j/(z)} are constructed. Finally, the extrapolation process by using the filtered series {y/sub j/(l)} based on X/sub w/(e/sup j/spl omega) restriction is established. The algorithm has the advantage of robustness under clutter background.<<ETX>>

Target discrimination and recognition using high resolution range features

A method for target discrimination and recognition based on target high-resolution range profiles (HRRPs) is summarized. This method uses heuristic feature extractions and the Mellin transformation of HRRPs. The use of wideband millimeter waves leads to better discrimination and recognition performance. The key techniques involved are: using wideband waveform to stimulate target scattering centers information; using a very-high-speed one- or two-dimensional FFTR processor to obtain the range profile or velocity of the target; and synthesis, fusion, and transformation of range profile features.<<ETX>>

Aircraft target recognition using adaptive time-delay neural network

In this paper, an adaptive time-delay neural network (ATDNN) classifier based on high resolution radar down range profiles is proposed for use in aircraft target recognition, and a peak-based feature extraction technique for the range profiles is introduced. The results of experiments show that the average correct recognition rate of scale model aircrafts is 87.6% under the condition of three kinds of aircrafts.

A global memory multiprocessor system with a programmable interconnection network

In this paper we introduce a real-time system of six TMS320C50 which adapts to the behavior and requirement of radar target recognition. We use the in-house resources of TMS320C50 sufficiently in hardware design, and construct a modularity, small-volume and low cost engineering utility system. The system architecture consists of fully-connected network and modified daisy chain network. The fully-connected network is constructed of the time-division-multiplexed (TDM) serial port of TMS320C50, and has simple hardware configuration. The modified daisy chain network is a programmable interconnection network (PICN) which uses global memory as kernel, and has larger modification than traditional daisy chain network in priority arbitration algorithm.

Approach to the fractal features of high-resolution polarimetric radar targets

For high-resolution radar, a novel idea is to use the polarimetric range profiles understanding technique to improve recognition performance. In this paper, a study is performed based on the fractal characterisation of one-dimensional range profiles of high-resolution polarimetric radar targets at four kinds of polarimetric states (HH, HV, VH, VV), and a new concept of the fractal matrix is proposed.

Design of infrared data acquisition and processing system

A data acquisition and processing system for sixteen infrared light-detection signals is introduced, which can processes sixteen infrared target signals real time, and achieves identification and tracing of target signals. The system uses four TMS320C25 as host processor, achieves synchronous parallel processing and possesses powerful anti-interference performance. The system uses three-level pipeline operation and adapts real-time processing.

Polarization identification of high resolution range profiles

In this paper, a novel effective polarization identification method is presented for vehicle sized ground target identification application. The method uses wide band FMCW orthogonal duel-polarization technology to obtain the degraded PSM of each scattering center in high resolution range profile. For different type of scattering center, different matching weight vectors of transmitting and receiving are used to process the PSM data of range profiles. Finally, power or amplitude output matched to different type of scattering center is obtained and used to identify target by means of the information about the kind of scattering centers the target is constructed. The method is more effective than those which use features obtained from only one polarization channel.

A new effective imaging method with application in multiple frequency radar target recognition

In this paper, a complex exponential model is used to describe the local partial Rayleigh or resonant response at first. Then the multiple frequency response equation of radar target is established. A FFT based strong scattering neighboring range area superresolution algorithm is used to obtain the so-called quasi-two-dimensional image of local spacial eigen-width vers radial range length. The imaging method is more effective than the conventional one-dimensional FFT algorithm which is used to obtain only range profile. Experimental data prove the effectiveness of the presented imaging method.

A method of range-polarization reconstructing of radar target and its application in target recognition

A novel method of two dimensional reconstructing of radar target under strong clutter background is presented for target recognition application. In this method, the wide-band FMCW technology and orthogonal polarization signal processing technology are used. A matrix computation based signal processing method is proposed to obtain radial range dimensional superresolution and to obtain each polarization scattering matrix (PSM) of the every strong scattering center of radar target. Then the relations between geometrical features of canonical scattering centers and the polarization descripter are established by using degraded PSM matching classification algorithm. The range profile with signs of polarization description is called two dimensional range-polarization imaging and it is helpful for target recognition.<<ETX>>