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六十年代以来,时间压缩式相关器在主动声呐的匹配滤波中得到广泛应用,但是由于受数据长度、采样频率等的限制,这种模型不能直接用于被动声呐。否则会引起数据的丢失。本文提出一种交叉存取式时间压缩相关器,利用一个缓冲存贮器可以实时完成任意长数据的相关运算,从而解决了主、被动声呐中所需的相关器设计问题。文中给出了正序、逆序进动型数据链及移位型正序、逆序数据链的流程图和硬件实现的方框图。本文讨论的方法可用于数字式声呐的设计,大大简化系统和提高声呐性能。
Since the 1960s, time-compressed correlators have been widely used in active sonar matched filtering. However, due to data length, sampling frequency and other limitations, this model can not be directly used for passive sonar. Otherwise it will cause data loss. In this paper, an interleaved time-compressed correlator is proposed to solve the correlator design problem in both primary and passive sonar by using a buffer memory to complete the operation of arbitrary long data in real time. The paper presents the flow chart of positive sequence, reverse precession precession data chain and shift positive sequence, reverse sequence data chain and the block diagram of hardware implementation. The method discussed in this article can be used for digital sonar design, greatly simplifying the system and improving sonar performance.