radareqsearchsnr
Description
computes the available SNR with additional options specified by one or more name-value
arguments. For example, snr
= radareqsearchsnr(___,Name,Value
)'Loss',6
specifies system losses as 6
decibels.
Examples
Compute SNR Using Search Radar Equation
Compute the available signal-to-noise ratio (SNR) for a search radar at a target range of 1000
kilometers with a power-aperture product of . Assume the search time is 10
seconds, the RCS of the target is –10
dBsm, the system noise temperature is 487
Kelvin, and the total system loss is 6
decibels.
range = 1000e3; pap = 3e6; tsearch = 10; rcs = db2pow(-10); ts = 487; loss = 6;
The radar surveys a region of space with azimuths in the range [0,30] degrees and elevations in the range [0,45] degrees. Find the solid angular search volume in steradians by using the solidangle
function.
az = [0;30]; el = [0;45]; omega = solidangle(az,el);
Calculate the available SNR.
snr = radareqsearchsnr(range,pap,omega,tsearch,'RCS',rcs,'Ts',ts,'Loss',loss)
snr = 13.8182
Plot SNR as Function of Range
Plot the available signal-to-noise ratio (SNR) as a function of the range for a search radar with a power-aperture product of . Incorporate path loss due to absorption into the calculation of the SNR.
Specify the ranges as 1000 linearly-spaced values in the interval [0,1000] kilometers. Assume the search volume is 1.5
steradians and the search time is 12
seconds.
range = linspace(1,1000e3,1000); pap = 2.5e6; omega = 1.5; tsearch = 12;
Find the path loss due to atmospheric gaseous absorption by using the gaspl
function. Specify the radar operating frequency as 10
GHz, the temperature as 15
degrees Celsius, the dry air pressure as 1013
hPa, and the water vapor density as 7.5
.
freq = 10e9; temp = 15; pressure = 1013e2; density = 7.5; loss = gaspl(range,freq,temp,pressure,density);
Compute the available SNR. By default, the target RCS is 1 square meter.
snr = radareqsearchsnr(range,pap,omega,tsearch,'AtmosphericLoss',loss);
Plot the SNR as a function of the range. Before plotting, convert the range from meters to kilometers.
plot(range*0.001,snr) grid on ylim([-10 60]) xlabel('Range (km)') ylabel('SNR (dB)') title('SNR vs Range')
Input Arguments
range
— Range
scalar | length-J vector of positive values
Range, specified as a scalar or a length-J vector of positive values, where J is the number of range samples. Units are in meters.
Example: 1e5
Data Types: double
pap
— Power-aperture product
scalar | length-J vector of positive values
Power-aperture product, specified as a scalar or a length-J vector of positive values. Units are in W·m2.
Example: 3e6
Data Types: double
omega
— Solid angular search volume
scalar
Solid angular search volume, specified as a scalar. Units are in steradians.
Given the elevation and azimuth ranges of a region, you can find the solid angular search
volume by using the solidangle
function.
Example: 0.3702
Data Types: double
tsearch
— Search time
scalar
Search time, specified as a scalar. Units are in seconds.
Example: 10
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: 'Ts',487
specifies the system noise temperature as 487
Kelvin
RCS
— Radar cross section
1
(default) | positive scalar | length-J vector of positive values
Radar cross section of the target, specified as a positive scalar or
length-J vector of positive values. The
radareqsearchsnr
function assumes the target RCS is nonfluctuating
(Swerling case 0). Units are in square meters.
Data Types: double
Ts
— System noise temperature
290
(default) | positive scalar
System noise temperature, specified as a positive scalar. Units are in Kelvin.
Data Types: double
Loss
— System losses
0
(default) | scalar | length-J vector of real
values
System losses, specified as a scalar or a length-J vector of real values. Units are in decibels.
Example: 1
Data Types: double
AtmosphericLoss
— One-way atmospheric absorption loss
0
(default) | scalar | length-J vector of real values
One-way atmospheric absorption loss, specified as a scalar or a length-J vector of real values. Units are in decibels.
Example: [10,20]
Data Types: double
PropagationFactor
— One-way propagation factor
0
(default) | scalar | length-J vector of real values
One-way propagation factor for the transmit and receive paths, specified as a scalar or a length-J vector of real values. Units are in decibels.
Example: [10,20]
Data Types: double
CustomFactor
— Custom loss factors
0
(default) | scalar | length-J vector of real values
Custom loss factors, specified as a scalar or a length-J vector of real values. These factors contribute to the reduction of the received signal energy and can include range-dependent sensitivity time control (STC), eclipsing, and beam-dwell factors. Units are in decibels.
Example: [10,20]
Data Types: double
Output Arguments
snr
— Available signal-to-noise ratio
scalar | length-J column vector of real values
Available signal-to-noise ratio, returned as a scalar or a length-J column vector of real values, where J is the number of range samples. Units are in decibels.
More About
SNR Form of Search Radar Equation
The signal-to-noise ratio form of the search radar equation, SNR, is:
where the terms of the equation are:
Pav — Average transmit power in watts
A — Antenna effective aperture in square meters
ts — Search time in seconds
σ — Nonfluctuating target radar cross section in square meters
F — One-way propagation factor for the transmit and receive paths
Fc — Combined range-dependent factors that contribute to the reduction of the received signal energy
k — Boltzmann constant
Ts — System temperature in Kelvin
R — Target range in meters. The equation assumes the radar is monostatic.
La — One-way atmospheric absorption loss
L — Combined system losses
Ω — Search volume in steradians
You can derive this equation based on assumptions about the SNR form of the standard
radar equation. For more information about the SNR form of the standard radar equation, see
the radareqsnr
function. These are the assumptions:
The radar is monostatic, so that R = Rt = Rr, where Rt is the range from the transmitter to the target and Rr is the range from the receiver to the target.
The search time is the time the transmit beam takes to scan the entire search volume. As a result, you can express the search time, ts, in terms of the search volume, Ω, the area of the beam in steradians, Ωt, and the dwell time in seconds, Td.
The transmit antenna beam has an ideal rectangular shape. As a result, you can express the transmit antenna gain, Gt, in terms of the angular area of the antenna beam.
The receive antenna is ideal. This means you can express the receive antenna gain, Gr, in terms of the antenna effective aperture, A, and the radar operating frequency wavelength, λ.
References
[1] Barton, David Knox. Radar Equations for Modern Radar. Artech House Radar Series. Boston, Mass: Artech House, 2013.
[2] Skolnik, Merrill I. Introduction to Radar Systems. Third edition. McGraw-Hill Electrical Engineering Series. Boston, Mass. Burr Ridge, IL Dubuque, IA: McGraw Hill, 2001.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Version History
Introduced in R2021a
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