A Novel Performance Analysis of Multiplexer Based Convolutional Encoder

In digital communication, convolutional codes are important to control the errors between the transmitter and receiver. Convolutional code is a type of error correction code (ECC) which can perform both error detection and correction operation between transmitter and receiver side. Here information bits are transformed serially through the architecture which is one of the major advantages as compared to block code method. The convolution encoder uses XOR gate which acts as main element in the convolution process. Convolution code which is performed based on the XOR operation has a main drawback of consuming high power initially. So it becomes necessary to replace the XOR operation with a low power consumption component mainly in low power applications. MUX acts a good alternative to XOR which consumes less power as compared to the XOR gate. In this work, two different type MUXs are involved to perform convolutional encoder operation for the encoding process. From these proposed approach can be reduce the power consumption, circuit complexity and also reduce the read only memory (ROM) size nearly 50%. Index Terms – Forward Error Correction (FEC), Convolutional Code(CC), Common Sub Expression (CSE) and Error Correction Code(ECC).