doppler

Construct Doppler spectrum structure

Syntax

s = doppler(specType)

s = doppler(specType, fieldValue)

s = doppler('BiGaussian', Name,Value)

Description

s = doppler(specType) constructs a Doppler spectrum structure of type specType for use with a fading channel System object. The returned structure, s, has default values for its dependent fields.

s = doppler(specType, fieldValue) constructs a Doppler spectrum structure of type specType for use with a fading channel System object. The returned structure, s, has its dependent field specified to fieldValue.

s = doppler('BiGaussian', Name,Value) constructs a BiGaussian Doppler spectrum structure for use with a fading channel System object. The returned structure, s, has dependent fields specified by Name,Value pair arguments.

Examples

Construct a Flat Doppler Spectrum Structure

Construct a flat Doppler structure variable for use with channel objects such as comm.RayleighChannel.

Invoke the doppler function to create a flat Doppler structure variable.

s = doppler('Flat')

s = struct with fields:
    SpectrumType: 'Flat'

Create a Bell Doppler Structure Variable

Use the doppler function to create a Doppler structure variable having the Bell spectrum.

s = doppler('Bell')

s = struct with fields:
    SpectrumType: 'Bell'
     Coefficient: 9

Construct a Rounded Doppler Spectrum Structure with Specified Polynomial

Specify the coefficients of the Doppler spectrum structure variable.

Construct a Rounded Doppler spectrum structure with coefficients a0, a2, and a4 set to 2, 6, and 1, respectively.

s = doppler('Rounded', [2, 6, 1])

s = struct with fields:
    SpectrumType: 'Rounded'
      Polynomial: [2 6 1]

Construct a BiGaussian Doppler Spectrum Structure with Specified Field Values

Use the doppler function to create a Doppler spectrum structure with the parameters specified for a BiGaussian spectrum.

s = doppler('BiGaussian','NormalizedCenterFrequencies', ...
    [.1 .85],'PowerGains',[1 2])

s = struct with fields:
                    SpectrumType: 'BiGaussian'
    NormalizedStandardDeviations: [0.7071 0.7071]
     NormalizedCenterFrequencies: [0.1000 0.8500]
                      PowerGains: [1 2]

The NormalizedStandardDeviations field is set to the default value. The NormalizedCenterFrequencies, and PowerGains fields are set to the values specified from the input arguments.

Input Arguments

specType — Spectrum type of Doppler spectrum structure for use with fading channel System object

'Jakes' | 'Flat' | 'Rounded' | 'Bell' | 'Asymmetric Jakes' | 'Restricted Jakes' | 'Gaussian' | 'BiGaussian'

The spectrum type of a Doppler spectrum structure for use with a fading channel System object. Specify this value as a character vector.

The analytical expression for each Doppler spectrum type is described in the Algorithms section.

Data Types: char

fieldValue — Value of dependent field of Doppler spectrum structure

scalar | vector

The value of the dependent field of the Doppler spectrum structure, specified as a scalar or vector of built-in data type. If you do not specify fieldValue , the dependent fields of the spectrum type use the default values.

Spectrum Type	Dependent Field	Description	Default Value
Jakes	—	—	—
Flat	—	—	—
Rounded	Polynomial	1-by-3 vector of real finite values, representing the polynomial coefficients, a0, a2 and a4	[1 -1.72 0.785]
Bell	Coefficient	Nonnegative, finite, real scalar representing the Bell spectrum coefficient	9
Asymmetric Jakes	NormalizedFrequencyInterval	1-by-2 vector of real values between –1 and 1, inclusive, representing the minimum and maximum normalized Doppler shifts	[0 1]
Restricted Jakes	NormalizedFrequencyInterval	1-by-2 vector of real values between 0 and 1, inclusive, representing the minimum and maximum normalized Doppler shifts	[0 1]
Gaussian	NormalizedStandardDeviation	Normalized standard deviation of the Gaussian Doppler spectrum, specified as a positive, finite, real scalar	0.7071
BiGaussian	NormalizedStandardDeviations	Normalized standard deviations of the BiGaussian Doppler spectrum, specified as a positive, finite, real 1-by-2 vector	[0.7071 0.7071]
	NormalizedCenterFreqencies	Normalized center frequencies of the BiGaussian Doppler spectrum specified as a real 1-by-2 vector whose elements fall between –1 and 1	[0 0]
	PowerGains	Linear power gains of the BiGaussian Doppler spectrum specified as a real nonnegative 1-by-2 vector	[0.5 0.5]

Data Types: double

Name-Value Arguments

Specify optional pairs of arguments as Name1=Value1,...,NameN=ValueN, where Name is the argument name and Value is the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Before R2021a, use commas to separate each name and value, and enclose Name in quotes.

Example: s=doppler('BiGaussian', 'NormalizedStandardDeviations', [.8 .75], 'NormalizedCenterFrequencies', [-.8 0], 'PowerGains', [.6 .6])

NormalizedStandardDeviations — Normalized standard deviations of first and second Gaussian functions

[1/sqrt(2) 1/sqrt(2)] (default) | 1-by-2 positive numeric vector

The normalized standard deviation of the first and second Gaussian functions. You can specify this value as a 1-by-2 positive numeric vector, of built-in data types.

When you do not specify this dependent field, the default value is [1/sqrt(2) 1/sqrt(2)].

Data Types: double

NormalizedCenterFrequencies — Normalized center frequencies of first and second Gaussian functions

[0 0] (default) | 1-by-2 numeric vector

The normalized center frequencies of the first and second Gaussian functions. You can specify this value as a 1-by-2 numeric vector of real values between –1 and 1, of built-in data types.

When you do not specify this dependent field, the default value is [0 0].

Data Types: double

PowerGains — Power gains of first and second Gaussian functions

[0.5 0.5] (default) | 1-by-2 numeric vector

The power gains of the first and second Gaussian functions. You can specify this value as a 1-by-2 nonnegative numeric vector of built-in data types.

When you do not specify this dependent field, the default value is [0.5 0.5].

Data Types: double

Algorithms

The following algorithms represent the analytical expressions for each Doppler spectrum type. In each case, $$f_d$$ denotes the maximum Doppler shift (MaximumDopplerShift property) of the associated fading channel System object.

Jakes

The theoretical Jakes Doppler spectrum, S(f) has the analytic formula

$$S(f)=\frac{1}{\pi f_d\sqrt{1-{(f/f_d)}^2}},\left|f\right|\le f_d$$

Flat

The theoretical Flat Doppler spectrum, S(f) has the analytic formula

$$S(f)=\frac{1}{2f_d}\text{, }\left|f\right|\le f_d$$

Rounded

The theoretical Rounded Doppler spectrum, S(f) has the analytic formula

$$S(f)=C_r\left[a_0+a_2{\left(\frac{f}{f_d}\right)}^2+a_4{\left(\frac{f}{f_d}\right)}^4\right]\text{, }\left|f\right|\le f_d$$

where

$$C_r=\frac{1}{2f_d\left[a_0+\frac{a_2}{3}+\frac{a_4}{5}\right]}$$

and you can specify [$$a_0,a_2,a_4$$] in the dependent field, polynomial.

Bell

The theoretical Bell Doppler spectrum, S(f) has the analytic formula

$$S(f)=\frac{C_b}{1\text{}+\text{}A\text{}{\left(\frac{f}{f_d}\right)}^2}$$

$$\left|f\right|\le f_d$$

where

$$C_b=\frac{\sqrt{A}}{\pi f_d}$$

You can specify A in the dependent field, coefficient.

Asymmetric Jakes

The theoretical Asymmetric Jakes Doppler spectrum, S(f) has the analytic formula

$$\begin{array}{c}S(f)=\frac{A_a}{\pi f_d\sqrt{1-{(f/f_d)}^2}},-f_d\le f_{\min }\le f\le f_{\max }\le f_d\\ A_a=\frac{1}{\frac{1}{\pi }\left[{\sin }^{-1}\left(\frac{f_{\max }}{f_d}\right)-{\sin }^{-1}\left(\frac{f_{\min }}{f_d}\right)\right]}\end{array}$$

where you can specify $$f_{\min }$$/ $$f_d$$ and$$f_{\max }$$ /$$f_d$$ in the dependent field, NormalizedFrequencyInterval.

Restricted Jakes

The theoretical Restricted Jakes Doppler spectrum, S(f) has the analytic formula

$$S(f)=\frac{A_r}{\pi f_d\sqrt{1-{(f/f_d)}^2}},0\le f_{\min }\le \left|f\right|\le f_{\max }\le f_d$$

where

$$A_r=\frac{1}{\frac{2}{\pi }\left[{\sin }^{-1}\left(\frac{f_{\max }}{f_d}\right)-{\sin }^{-1}\left(\frac{f_{\min }}{f_d}\right)\right]}$$

where you can specify $$f_{\min }$$/ $$f_d$$ and$$f_{\max }$$ /$$f_d$$ in the dependent field, NormalizedFrequencyInterval.

Gaussian

The theoretical Gaussian Doppler spectrum, S(f) has the analytic formula

$$S_G(f)=\frac{1}{\sqrt{2\pi {\sigma }_G^2}}\exp \left(-\frac{f^2}{2{\sigma }_G^2}\right)$$

You can specify $${\sigma }_G/f_d$$ in the dependent field, NormalizedStandardDeviation.

BiGaussian

The theoretical BiGaussian Doppler spectrum, S(f) has the analytic formula

$$S_G(f)=A_G\left[\frac{C_{G1}}{\sqrt{2\pi {\sigma }_{G1}^2}}\exp \left(-\frac{{(f-f_{G1})}^2}{2{\sigma }_{G1}^2}\right)+\frac{C_{G2}}{\sqrt{2\pi {\sigma }_{G2}^2}}\exp \left(-\frac{{(f-f_{G2})}^2}{2{\sigma }_{G2}^2}\right)\right]$$

where $$A_G=\frac{1}{C_{G1}+C_{G2}}$$ is a normalization coefficient.

You can specify $${\sigma }_{G1}$$/$$f_d$$ and $${\sigma }_{G2}$$/$$f_d$$ in the NormalizedStandardDeviations dependent field.

You can specify $$f_{G1}$$/$$f_d$$ and $$f_{G2}$$/$$f_d$$ in the NormalizedCenterFrequencies dependent field.

$$C_{G1}$$ and $$C_{G2}$$ are power gains that you can specify in the PowerGains dependent field.

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

All inputs must be constants. Expressions or variables are allowed if their values do not change.

Version History

Introduced in R2007a