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lteRateRecoverConvolutional

Convolutional rate matching recovery

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Syntax

out = lteRateRecoverConvolutional(in,outlen)

Description

out = lteRateRecoverConvolutional(in,outlen) performs rate recovery of the input data vector, in, to create an output vector, out, of length outlen. This function is the inverse of the rate matching operation for convolutionally encoded data. For more information, see lteRateMatchConvolutional. This function includes the inverses of the subblock interleaving, bit collection and bit selection, and pruning stages. This function also implements additive soft combining of the input data elements in the case where repetition occurred during the original rate matching.

example

Examples

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Open Live Script

Perform rate recovery after rate matching. The returned vector has the same length as the input to rate matching. 

codedBlklen = 132;
rateMatched = lteRateMatchConvolutional(ones(codedBlklen,1),50);
txSymbols = lteSymbolModulate(rateMatched,'QPSK');
rxSymbols = lteSymbolDemodulate(txSymbols,'QPSK');
rateRecovered = lteRateRecoverConvolutional(rxSymbols,codedBlklen);
size(rateRecovered)
ans = 1×2

   132     1

The output variable, rateRecovered, is a vector of the same length as the input to rate matching.

Input Arguments

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Input data, specified as a numeric column vector.

Data Types: double | uint8 | uint16 | uint32 | uint64 | int8 | int16 | int32 | int64

Output vector length, specified as a nonnegative scalar integer.

Example: 50

Data Types: double

Output Arguments

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Rate recovered output, returned as a numeric column vector.

Data Types: double | uint8 | uint16 | uint32 | uint64 | int8 | int16 | int32 | int64

Version History

Introduced in R2014a

See Also

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