Generate Kasami sequence from set of Kasami sequences
Communications Toolbox / Comm Sources / Sequence Generators
The Kasami Sequence Generator block generates a sequence from a set of Kasami sequences. The Kasami sequences are a set of sequences that have good crosscorrelation properties. For more information, see Kasami Sequences.
This block can output sequences that vary in length during simulation. For more information about variablesize signals, see VariableSize Signal Basics (Simulink).
These icons show the block with oSiz
, Ref
and
Rst
ports enabled.
oSiz
— Current output sizeCurrent output size, specified as a scalar or a vector of the form [n,1], where n is the number of elements in the output sequence.
Example: [10 1]
a specifies a current output column vector of size
10by1.
To enable this port, set the Maximum output size source parameter
to Dialog parameter
.
Data Types: double
Ref
— Reference input signalReference input signal, specified as a scalar, or a column vector.
To enable this port, set the Maximum output size source parameter
to Inherit from reference input
.
Data Types: double
Rst
— Reset signalReset signal, specified as a scalar or vector, depending on the output size.
When the output size is variable, specify this port as a scalar.
Otherwise, specify this port as a scalar or a column vector of length equal to the Samples per frame parameter value.
The output signal resets for nonzero Rst input values. For more information, see Reset Behavior.
To enable this port, select the Reset on nonzero input parameter.
Data Types: double
Out
— Output SignalOutput signal, returned as a binaryvalued column vector. At least one element of the Initial states parameter vector must be nonzero for the block to generate a nonzero sequence.
Data Types: double
Generator polynomial
— Generator polynomial'z^6 + z + 1'
(default)  polynomial character vector  string scalar  binaryvalued row vector  integervalued row vectorSpecify the generator polynomial, which determines the connections in the shift register that generates the sequence, as one of these options.
A polynomial character vector or string scalar that includes the
number 1
(for example, 'z^4 + z +
1'
). For more information, see Representation of Polynomials in Communications Toolbox.
A binaryvalued row vector that lists the coefficients of a
polynomial in order of descending powers. The first and last entries
must be 1
. The length of this vector must be one
more than the degree of the generator polynomial.
An integervalued row vector containing the exponents of the
nonzero terms of a polynomial in order of descending powers. The
last entry must be 0
.
For example, 'z^8 + z^2 + 1'
, [1 0 0 0 0 0 1 0
1]
, and [8 2 0]
represent the same
polynomial p(z) =
z^{8} +
z^{2} + 1.
Initial states
— Initial states [0 0 0 0 0 1]
(default)  binaryvalued scalar  binaryvalued row vectorThe initial states of the shift register generate the sequence. If you specify a binaryvalued row vector, the length must equal the degree of the generator polynomial specified by the Generator polynomial parameter. If you specify a binaryvalued scalar, the block expands the scalar to a row vector of length equal to the degree of the generator polynomial. All entries of the resulting vector equal the scalar.
Sequence index(es)
— Sequence index0
(default)  integer  vector of the form [k
m]Specify an integer or vector of the form [k m] to select a Kasami sequence of interest from the set of possible sequences. Two classes of Kasami sequences exist: those obtained from a small set and those obtained from a large set. You can choose a Kasami sequence from the small set by setting this parameter to an integer in the range [0, 2^{n/2}–2]. You can choose a sequence from the large set by setting this parameter to a vector of the form [k m]. k must be an integer in the range [–2, 2^{n}–2], and m must be an integer in the range [–1, 2^{n/2}–2]. For more information, see Sequence Index.
Shift
— Sequence offset from starting point0
(default)  integerSpecify the offset of the Kasami sequence from the initial time.
You can use an external signal to reset the values of the internal shift register to the initial state by selecting the Reset on nonzero input parameter. This selection creates an input port for the external signal in this block. The way the block resets the internal shift register depends on whether its output signal and reset signal are samplebased or framebased. For an example, see Reset Behavior.
Output variablesize signals
— Option to output variablelength signalsoff
(default)  on
Select this parameter to enable variablelength output sequences during simulation. When you clear this parameter, the block outputs fixedlength sequences. When you select this parameter, the block can output variablelength sequences. For information about variablesize signals, see VariableSize Signal Basics (Simulink).
Maximum output size source
— Maximum output size sourceDialog parameter
(default)  Inherit from reference port
Select how to specify the maximum sequence output size.
Dialog parameter
— Select this value to
configure the block to use the Maximum output size
parameter setting as the maximum permitted output sequence length. The
oSiz input port specifies the current size of the
output signal, and the block output inherits the sample time from the input
signal. The input value of oSiz must be less than or
equal to the Maximum output size parameter.
Inherit from reference port
— Select this value
to enable the Ref input port and configure the block to
inherit the sample time, maximum size, and current output size from the
variablesized signal at the Ref input port. These set
the maximum permitted output sequence length.
To enable this parameter, select Output variablesize signals.
Maximum output size
— Maximum output size[10 1]
(default)  vector of the form [n 1]Specify the maximum output size for the block. n is a positive scalar.
Example: [10 1]
specifies a 10by1 maximum size for the output
signal.
To enable this parameter, and set Maximum output size source
to Dialog parameter
.
Data Types: double
Sample time
— Output sample time1
(default)  1
 positive scalarPositive scalars specify the time in seconds between each
sample of the output signal. If you set the Sample time to
1
, the output signal inherits the sample time from downstream. For
information on the relationship between the Sample time and
Samples per frame parameters, see
Sample Timing.
To enable this parameter clear Output variablesize signals.
Samples per frame
— Samples per frame1
(default)  positive integerSpecify the number of samples per frame in one channel of the output data. For information on the relationship between the Sample time and Samples per frame parameters, see Sample Timing.
Reset on nonzero input
— Option to reset output signaloff
(default)  on
Select this parameter to enable the Rst input port. Use that port to specify an input signal that resets the internal shift registers to the original values of the Initial states parameter value.
Output data type
— Output data typedouble
(default)  boolean
Specify the output data type of the block.
Data Types 

Multidimensional Signals 

VariableSize Signals 

The time between output updates is equal to the product of the
Samples per frame and Sample time parameter
values. For example, if Sample time and Samples per
frame each equal 1
, the block outputs a sample every
second. If you increase Samples per frame to 10, then the block outputs
a 10by1 vector every 10 seconds. This ensures that the equivalent output rate is not
dependent on the Samples per frame parameter.
Two sets of Kasami sequences exist: the small set and the large set. The large set contains all of the sequences in the small set. Only the small set is optimal in the sense of matching Welch's lower bound for correlation functions.
Kasami sequences have a period of N = 2^{n} – 1, where n is a nonnegative even integer. Let u be a binary sequence of length N, and let w be the sequence obtained by decimating u by 2^{n/2} + 1. This piecewise function defines the small set of Kasami sequences. T is the left shift operator, m is the shift parameter for w, and $$\oplus $$ denotes addition modulo 2.
$${K}_{\text{s}}(u,n,m)=\{\begin{array}{ll}u\hfill & m=1\hfill \\ u\oplus {T}^{m}w\hfill & m=0,\mathrm{...},{2}^{n/2}2\hfill \end{array}$$
The small set contains 2^{n/2} sequences.
For mod(n, 4) = 2, this piecewise function defines the large set of Kasami sequences. Let v be the sequence formed by decimating the sequence u by 2^{(n/2 + 1)} + 1. k and m are the shift parameters for the sequences v and w, respectively.
$${K}_{\text{L}}(u,n,k,m)=\{\begin{array}{ll}u\hfill & k=2;\text{}m=1\hfill \\ v\hfill & k=1;\text{}m=1\hfill \\ u\oplus {T}^{k}v\hfill & k=0,\mathrm{...},{2}^{n}2;\text{}m=1\hfill \\ u\oplus {T}^{m}w\hfill & k=2;\text{}m=0,\mathrm{...},{2}^{n/2}2\hfill \\ v\oplus {T}^{m}w\hfill & k=1;\text{}m=0,\mathrm{...},{2}^{n/2}2\hfill \\ u\oplus {T}^{k}v\oplus {T}^{m}w\hfill & k=0,\mathrm{...},{2}^{n}2;\text{}m=0,\mathrm{...},{2}^{n/2}2\hfill \end{array}$$
The sequences described in the first three rows of
K_{L} correspond to the Gold sequences
for mod(n, 4) = 2. For a description of Gold sequences, see the
comm.GoldSequence
System object™ reference page. However, the Kasami sequences form a larger set than
the Gold sequences alone.
The correlation functions for the sequences take on the values
{–t(n), –s(n), –1, s(n) – 2, t(n) – 2},
where
$$\begin{array}{c}t(n)=1+{2}^{(n+2)/2}\text{,when}n\text{isevenand}\\ s(n)=\frac{1}{2}\left(t(n)+1\right).\end{array}$$
Kasami sequences have a period of N = 2^{n} – 1, where n is a nonnegative even integer. This table lists some of the polynomials that you can use to generate the set of Kasami sequences.
n  N  Polynomial  Set 

4  15  'z^4 + z +1'  Small 
6  63  'z^6 + z +1'  Large 
8  255  'z^8 + z^4 + z^3 + z^2 +1'  Small 
10  1023  'z^10 + z^3 +1'  Large 
12  4095  'z^12 + z^6 + z^4 + z +1'  Small 
The Sequence index(es) parameter specifies the shifts of the sequences v and w used to generate the output sequence. You can specify the parameter in one of these two ways.
To generate sequences from the small set, when n is even, you can specify Sequence index(es) as an integer m in the range [–1, 2^{n/2} – 2]. This table describes the output sequences corresponding to Sequence index(es) values.
Sequence index(es) Value  Range of Indices  Output Sequence 

1
 m = –1  u 
m  m = 0, 2^{n/2} – 2 
To generate sequences from the large set for mod (n, 4) = 2, where n is the degree of the generator polynomial (set by the Generator polynomial parameter), you can specify Sequence index(es) as a vector of the form [k m]. In this case, the output sequence is from the large set k is an integer in the range [–2, 2^{n} – 2], and m is an integer in the range [–1, 2^{n/2} – 2]. This table describes the output sequences corresponding to Sequence index(es) values.
Sequence index(es) Value  Range of Indices  Output Sequence 

[2 1]
 k = –2 m = –1  u 
[1 1]
 k = –1 m = –1  v 
[k –1]
 k = 0, 1, ..., 2^{n} – 2 m = –1  
[2 m]
 k = – 2 m = 0, 1, ..., 2^{n/2} – 2  
 k = –1 m = 0, ..., 2^{n/2} –2  
[k
m]
 k = 0, ..., 2^{n} –2 m = 0, ..., 2^{n/2} –2 
Before you can reset the generator sequence, you must select the
Reset on nonzero input parameter to enable the
Rst input port. Suppose that the Kasami Sequence Generator block outputs
[1 0 0 1 1 0 1 1]
when no reset exists. This table shows the effect
on the Kasami Sequence Generator block output for the parameter values indicated.
Reset Signal  Reset Signal Settings  Kasami Sequence Generator block  Reset Signal and Output Signal 

No reset 



Scalar reset signal 



Vector reset signal 


For the noreset case, the block outputs the sequence without resetting it.
For the scalar and vector reset signal cases, the block inputs the reset signal [0
0 0 1 0 0 0 0]
to the Rst port. Because the fourth bit of
the reset signal is a 1
and Sample time is
1
, the block resets the sequence output at the fourth bit.
For variablesized outputs, the block supports only scalar reset signal inputs.
Behavior changed in R2020a
Starting in R2020a, Simulink^{®} no longer allows you to use the Kasami Sequence Generator block version available before R2015b.
Existing models automatically update to load the Kasami Sequence Generator block version announced in Source blocks output frames of contiguous time samples but do not use the frame attribute in the R2015b Release Notes. For more information on block forwarding, see Maintain Compatibility of Library Blocks Using Forwarding Tables (Simulink).
[1] Peterson, W. Wesley, and E. J. Weldon. Errorcorrecting Codes.1972.
[2] Proakis, John G. Digital Communications. 4th ed. New York: McGraw Hill, 2001.
[3] Sarwate, D.V., and M.B. Pursley. “Crosscorrelation Properties of Pseudorandom and Related Sequences.” Proceedings of the IEEE 68, no. 5 (1980): 593–619. https://doi.org/10.1109/PROC.1980.11697.
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