Table Of Contents

MT Convolutional DeInterleaver (Standard) (G Dataflow)

Last Modified: January 9, 2017

Performs the deinterleaving process using a fixed number of branches and fixed unit delay.

A convolutional deinterleaver is the inverse of a convolutional interleaver. In convolutional deinterleaving, data elements pass cyclically through a set of branches. That is, in an N branch convolutional deinterleaver, the element 0 goes through branch 0, element 1 goes through branch 1, element N-1 goes through branch N-1, element N goes through branch 0, and so on. Each branch has different delays associated with it. Hence the data sent to each deinterleaver branch is delayed by a specific amount (the amount of delay in that particular branch) before the deinterleaver returns the data. In a convolutional interleaver, if the delay in branch number n is dn, maximum delay is max_delay and the minimum delay is min_delay, then for the corresponding convolutional deinterleaver, the delay in branch number n is: Dn = (max_delay+min_delay)-dn.

connector_pane_image
datatype_icon

data in

The input data to the deinterleaver.

datatype_icon

number of branches

The number of branches of the convolutional deinterleaver. Data elements pass through the branches in a cyclic fashion. For example, in an N branch convolutional deinterleaver, data element 0 goes through branch 0, element 1 goes through branch 1, element N-1 goes through branch N-1, element N returns through branch 0, and so on. Each branch incorporates different delays.

Default: 0

datatype_icon

unit delay

The unit delay value. If this value is defined as D, then the number of delays on the ith branch is (i×D). If the total number of branches is N, then i = 0, 1,…, N-1.

Default: 0

datatype_icon

initial state

The shift register values when the convolutional deinterleaver begins operation.

datatype_icon

error in

Error conditions that occur before this node runs. The node responds to this input according to standard error behavior.

Default: no error

datatype_icon

reset?

A Boolean that determines whether to check the current input parameters. The current input parameters are always checked on the first run of this node.

TRUE Checks input parameters.
FALSE Does not check input parameters.

Default: TRUE

datatype_icon

data out

The output of the convolutional deinterleaver.

datatype_icon

error out

Error information. The node produces this output according to standard error behavior.

Examples of Convolutional Interleaving and Deinterleaving

The following example demonstrates convolutional interleaving and deinterleaving. Let the data in be: x0, x1, x2, x3, x4, x5, x6, x7, x8, x9, x10, x11, x12, x13, …

Interleaver Input Interleaver Output

D = unit delay in the path.

Assume for this example that the unit delay = 1, and the initial state shift registers are initialized with values of 0 for both the interleaver and the deinterleaver.

Interleaved Data: x0, 0, 0, 0, x4, x1, 0, 0, x8, x5, x2, 0, x12, x9, …

Deinterleaver Input Deinterleaver Output

Deinterleaved Data: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, x0, x1, x2, x3, x4, x5, x6, x7, x8, x9, …

Where This Node Can Run:

Desktop OS: Windows

FPGA: Not supported


Recently Viewed Topics