To the scheduling of the various sub-state machine; collected pretreatment data, FFT, coordinate system conversion and CFAR detection of these four sub-state machine to control the respective lower sub-state machine action, thus completing the data collection, conversion, The domain pre-processing, spectrum analysis, coordinate system conversion, goal lines Recognition and CFRA detect a series of processing tasks. Signal processing FPGA design. FPGA design technology include: hardware description language HDL and coding skills to master, especially the comprehensive style of the RTL Register Transfer model and the rational design of finite state machines, in-depth understanding of the FPGA structure and internal resources. Therefore, this kind of green laser pointer is the practical type.
In the development process of the short-range radar digital signal processing FPGA solutions using the best HDL simulation software ModelSim5.6 compiled and the simulation of the Verilog HDL code; to use LeonardoSpectrum2002 comprehensive optimization of the design; QUARTUS II place and route, and is based on a 100 000 scale FPGA-ACEX1K100 of design completion. Figure 3 shows the signal processing, the main state machine controls the timing relationship of the next processing unit. CFAR processing unit is actually the core component of the signal processor, and can thus be said that the FFT spectrum analysis unit is the key components of the affect system real-time, constant false alarm detection unit determines the short-range radar target recognition and the whole performance. green laser pointer is to highlight the content of the presentation, meeting and discussion.
The course of their work is as follows: 2 # RAM write address is generated, control the FFT spectrum analysis unit (in this case include the plural and the modular unit, regarded as one) output on the bus data, according to the address stored in the RAM of 2 # to complete the frequency domain data buffer; 2 # RAM for addressing, analyzing the power spectrum data, identify the target spectrum in order to complete the access to information on the target speed; consider the near-field effects of Doppler broadening on the basis of the local 2 # RAM addressing , respectively, to calculate the frequency domain background noise level on both sides, and for the ultimate clutter estimation; consider the system false alarm rate, mainly as CFAR target discrimination, given the decision-making signals. Thus, CFAR processing finite state machine can be divided into the following six working state. green laser pointer is used in many different locations and countries.
Figure 4 shows the CFAR processing part under QUARTUSII, timing simulation results. FPGA-based short-range radar signal processor design is actually a complex process, in view of the limited space, here is no longer too much narrative. Design results: signal processing hardware circuit by the FPGA the chip ACEX1K100 its configuration EPROM chip must be matched, power chip and pre-signal conditioning circuit, concise, and high reliability. The whole circuit in a 100 × 100 mm2 of PCB board, and get good results in the measured. The workshop has improved the considerate and practical dust-proof design of green laser pointer .
When the circuit operates at 25MHz clock to complete the 256-point FFT only need 80ms to complete a data acquisition and processing, target recognition only needs less than 350ms, its performance over general-purpose DSP processor program design, fully satisfy the system requirements. With good prospects for the development of the FPGA and related technologies used in the development of a short-range radar target identification device in the field of signal processing, design high-performance real-time digital processor complete the integration of a variety of complex signal processing algorithms of a single FPGA . Hardware design results are reliable, have been applied to the short-range radar system prototype. Here will introduce the dust proof characteristic of green laser pointer .
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