Documentation

This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

lteULDeprecode

SC-FDMA deprecoding

Syntax

out = lteULDeprecode(in,nrb)

Description

example

out = lteULDeprecode(in,nrb) performs SC-FDMA deprecoding of the complex modulation symbols in for PUSCH configuration with a bandwidth of nrb resource blocks.

Examples

collapse all

Deprecode symbols after SC-FDMA demodulation and symbol extraction from the received resource grid.

Create an UL RMC configuration structure, resource grid, and bit stream.

rmc = lteRMCUL('A3-2');
[puschInd, info] = ltePUSCHIndices(rmc,rmc.PUSCH);
ueDim = lteULResourceGridSize(rmc);
bits = randi([0,1],info.G,rmc.PUSCH.NLayers);

Scramble bits, create modulated symbols, and perform UL precoding and resource mapping.

scrBits = lteULScramble(rmc,bits);
symbols = lteSymbolModulate(scrBits,rmc.PUSCH.Modulation);
precodedSymbols = lteULPrecode(symbols,rmc.NULRB);
grid = lteULResourceGrid(rmc);
grid(puschInd) = precodedSymbols;

Perform SC-FDMA modulation and demodulation.

[timeDomainSig,infoScfdma] = lteSCFDMAModulate(rmc,grid);
rxGrid = lteSCFDMADemodulate(rmc,timeDomainSig);

Extract PUSCH from grid and perform UL deprecoding.

rxPrecoded = rxGrid(puschInd);
dePrecodedSymbols = lteULDeprecode(rxPrecoded,rmc.NULRB);

Input Arguments

collapse all

Complex modulation symbols, specified as an NSym-by-NL matrix of complex symbols. NSym is the number of symbols and NL is the number of layers.

Data Types: double
Complex Number Support: Yes

Number of resource blocks, specified as a nonnegative integer.

Data Types: double

Output Arguments

collapse all

Deprecoded PUSCH output symbols, returned as an NSym-by-NL matrix of complex symbols. NSym is the number of symbols, and NL is the number of layers.

The dimension and size of the input and output symbol matrices are the same.

Introduced in R2014a

Was this topic helpful?