The objective of this projectis to design, model and simulate an AUTOCORRELATION
generator circuit using 4-bit LFSR. the register and LFSR will used D flip-flop and some
gates. By the AUTOCORRELATION concept, there should be 2 same length vectors, for calculating
the AUTOCORRELATION , we have to design the register for storing the original vector and the
shifter for make time delay.
Accurate estimates of the AUTOCORRELATION or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
Abstract：Noise frequency modulation(FM)jamming。which belongs to blanket jamming。is already become
the main form ofnoise jamming at present。because the wideband was gained by it．Tne spectnlnl ofnoise FM
jamming is analyzed by time domain AUTOCORRELATION method in this paper．It’S jamm g peculiarity and幾o(hù)ut—
putting signal’S jamming peculiarity ale explained．At last，these time series models ofnoise FM jalllIIling sig—
nal and幾o(hù)utputting signal ale built．
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator.
a Compute the AUTOCORRELATION of for .
b Compute the periodogram estimate and plot it.
c Generate 10 different realizations of , and compute the corresponding sample AUTOCORRELATION sequences , and . Compute the average AUTOCORRELATION sequence as and the corresponding periodogram for .
d Compute and plot the average periodogram using the Bartlett method.
e Comment on the results in parts (a) through (d).
