Hardware implementation of least means square (LMS) self-adapting filter with high performance
An adaptive filter and filter technology, applied in the direction of adaptive network, electrical components, impedance network, etc., can solve problems such as restricting applications, and achieve the effect of reducing hardware overhead, reducing the number of stages, and improving running speed
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[0026] In order to meet the requirement of high performance, the present invention specially optimizes the architecture of the filter system, and invents a new multiply-accumulate unit, which greatly improves the working speed of the system.
[0027] It can be seen from the formulas (4), (5) and (6) that the DLMS adaptive filter has two inputs, namely the sampling data input and the expected signal input. Therefore, there are two modules in the DLMS structure: FIR filter module and coefficient update module; and two recursive loops: weight update loop and error feedback loop. Its system block diagram is as figure 1 shown.
[0028] FIR filters have two structures, namely direct type and transpose type, and their structure diagrams are as follows figure 2 and image 3 shown. From figure 2 and 3 It can be seen that the maximum delay of the direct type is Tm+MTa, and the maximum delay of the transpose type is Tm+Ta, where Tm is the delay of the multiplier, Ta is the del...
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