I didn’t get what you want to know. But I think you want make some logic using C# for bit mapping of 16QAM.16 QAM stand for the Quadrature amplitude modulation. It is one of modulation technique to use for radio communications.
ok like this..i have a coding 16qam in matlab..but i need 16qam in c# to implement it on dsp board TMS320C6713. so who knows how to translate it or anyone have a coding 16qam in c#? there is a coding that i have. % in this Mfile, I want to investigate the performance of LSE algorithm in % OFDM channel estimation % % for further information see the % [Xiaodong Cai and Georgios B. Giannakis, % “Error Probability Minimizing Pilots for % OFDM with M-PSK Modulation over Rayliegh-Fading % Channels,†IEEE Transactions on Vehicular % technology, vol. 53, No. 1, pp 146-155, Jan. 2004.] % initialize clear clc % parameter definition N = 256; % total number of subchannels %P = 256/8; % total number of Pilots %S = N-P; % totla number of data subchannels GI = N/4; % guard interval length M = 16; % modulation %pilotInterval = 8; % pilot position interval %L = 16; % channel length nIteration = 100000; % number of iteration in each evaluation SNR_V = [0:1:30]; % signal to noise ratio vector in dB ber = zeros(1,length(SNR_V)); % initializing bit error rate % Pilot Location and strength %Ip = [1:pilotInterval:N]; % location of pilots %Is = setxor(1:N,Ip); % location of data %Ep = 2; % energy in pilot symbols in comparison % to energy in data symbols % fft matrix F = exp(2*pi*sqrt(-1)/N .* meshgrid([0:N-1],[0:N-1])... .* repmat([0:N-1]',[1,N])); for( i = 1 : length(SNR_V)) SNR = SNR_V(i) for(k = 1 : nIteration) % generating random channel coefficients % h(1:L,1) = random('Normal',0,1,L,1) + ... % j * random('Normal',0,1,L,1); % h = h./sum(abs(h)); % normalization % Tr Data TrDataBit = randint(N,1,M); TrDataMod = qammod(TrDataBit,M); %TrDataMod(Ip) = Ep * TrDataMod(Ip); TrDataIfft = ifft(TrDataMod,N); TrDataIfftGi = [TrDataIfft(N- GI + 1 : N);TrDataIfft]; % tx Data %TxDataIfftGi = filter(h,1,TrDataIfftGi); % channel effect TxDataIfftGi = TrDataIfftGi; % channel effect % adding awgn noise TxDataIfftGiNoise = awgn(TxDataIfftGi ... , SNR - db(std(TxDataIfftGi))); % normalization to signal power TxDataIfft = TxDataIfftGiNoise(GI+1:N+GI); TxDataMod = fft(TxDataIfft,N); % Channel estimation %Spilot = TrDataMod(Ip); % trnasmitted pilots %Ypilot = TxDataMod(Ip); % received pilots %G = (Ep * length(Ip))^-1 ... % * ctranspose(sqrt(Ep)*diag(Spilot)*ctranspose(F(1:L,Ip))); %hHat = G*Ypilot; % estimated channel coefficient in time domain %TxDataBit = qamdemod(TxDataMod./(fft(hHat,N)),M); TxDataBit = qamdemod(TxDataMod,M); % bit error rate computation %[nErr bErr(i,k)] = symerr(TxDataBit(Is),TrDataBit(Is)); [nErr bErr(i,k)] = symerr(TxDataBit,TrDataBit); end end f1 = figure(1); set(f1,'color',[1 1 1]); semilogy(SNR_V,mean(bErr'),'b->'); xlabel('SNR in dB'); ylabel('Bit Error Rate'); mean_bErr = mean(bErr'); save qam16_awgn_ofdm SNR_V mean_bErr bErr;
