基于ADSP-TS203的成像声纳信号处理平台设计与实现
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摘要
在对诸如海底沉船、海底输油管、堤坝等水下物体表面的探测中,光学成像对水文状况有很高的要求,其作用距离受到很大的限制。成像声纳则相对限制较少,可以在黑暗或者混浊水中得到清晰的图像,因而在水下成像技术的发展中占有重要地位。随着技术的发展,成像声纳向着高精度、实时成像的方向发展,而这就要求成像声纳的信号处理平台具有运算速度快、数据吞吐量高的特点。
     本论文正是以声成像为应用背景,研制一款适用于成像声纳的信号处理平台。本平台选择采用一片高性能DSP器件ADSP-TS203为计算核心和一片FPGA为控制核心的架构,以HOTLink高速串行传输和CPCI高速并行传输为数据进出本平台的通道,保证了信号处理平台的运算能力和传输能力满足成像声纳的要求。
     在高速硬件设计中,对常见的三大类噪声进行了仿真与分析并提出了相应的抑制方法,优化了信号处理平台的硬件设计,有效解决了平台的信号完整性问题,提高了平台的稳定性。
     设计完成了包括DSP总线通信接口、DSP链路口通信接口、HOTLink通信接口和PCI9656通信接口在内的接口控制逻辑,并对接口性能做了测试,各个接口基本可以满足性能要求。
     本信号处理处理平台的实现既可以满足该项目的工程要求,又可以作为成像声纳数据处理算法的验证平台。
The coverage of optical imaging devices is limited by bad hydrological condition when using the devices to detect the surface of underwater object such as wreck, pipe-laying, dykes and dams. Correspondingly, the imaging sonar has less restriction and gets clear images even in the dark or turbid water. So the acoustic imaging technique plays an important role in the development of the underwater imaging devices. With the development of the technology, imaging sonar is more precisely and works in real time, thus its signal processing platform must calculate quickly and have broad data transfer bandwidth.
     This dissertation puts forward a new platform which is suitable for signal processing in imaging sonar. The platform has one ultrahigh performance processor ADSP-TS203 as the calculate kernel and one FPGA as the logic centre. Data import from the HOTLink—a kind of high-speed serial transmission, and export to the CPCI bus—a kind of high-speed parallel bus. This architecture lets platform have high performance both in calculate and data transfer.
     The most three familiar noise of the high-speed circuit have been analyzed and emulated to optimize the platform when designing PCB. These works solve the SI (Signal Integrity) problem and make the platform be more robust.
     Designed and compiled the routine of the interface logic control in FPGA. The FPGA has four interfaces which connected to DSP bus, DSP link port, HOTLink, and PCI 9656. Each interface was verified and performs well.
     This signal processing platform not only satisfies the project needs, but also can be used to validate imaging sonar data processing algorithms.
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