Range Estimator
Range Assessment.
Description
The Range Estimator unit estimates the target detection range derived from radar response data.
Ports
Input
Resp - cube of range-processed radar response data
complex vector-column M by 1 | complex matrix M by N | complex matrix M by N by P
A cube of range-treated response data, given as a complex vector-column M by 1, a complex matrix M by P, or a complex array M by N by P. M is the number of range samples, N is the number of sensor elements or beams, P is the number of Doppler bins.
The number of samples for the first dimension of the input matrix may be varied to simulate a change in signal length. The change in dimension may occur, for example, in the case of a pulse waveform with a variable pulse repetition rate.
Data types: Float16, Float32, Float64, Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Bool.
Support for complex numbers: Yes
Range - range grid values
`real vector-column M by 1'.
Range grid values by the range size of the Resp input data cube range, specified as a real vector-column M by 1. The range values should be monotonically increasing and equidistant from each other. The units of measurement are metres.
Example: [−0.3,−0.2,−0.1,0,0.1,0.2,0.3]
Data types: Float16, Float32, Float64, Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Bool.
NoisePower - noise power at detection locations
positive scalar | real positive vector-string 1 on Q
The noise power at detection locations, given as a positive scalar or real positive vector-string 1 on Q. Q is the number of detections specified in the DetIdx input port.
Dependencies
To use this port, select the Output variance for parameter checkbox and set the Source of noise power parameters to Input port.
Clusters - cluster identifiers
real positive vector-string 1 on Q
Clusters identifiers given as a real positive vector-string 1 on Q, where Q is the number of detections given in the DetIdx input port. Each Clusters element corresponds to a DetIdx element.
Dependencies
To use this port, select the Enable cluster ID input checkbox.
Output
Est - range estimation
real vector-column K by 1
Range estimates given as real vector-column K by 1.
If the Enable cluster ID parameter is not enabled, each range estimate corresponds to one of the columns of the DetIdx input port. Then K is equal to the dimension of the Q column of the DetIdx port.
If the Enable cluster ID parameter is enabled, then each range score corresponds to one of the cluster IDs in the Clusters input port. Then K is equal to the number of unique cluster IDs.
Var is the propagation range
` real positive vector-column K at 1
The variance of the range estimate returned as a positive real vector-column K by 1, where K is the dimension of Est. Each element of Var corresponds to an element of Est. The estimation variance is computed using the Ziv-Zakai constraint.
Dependencies
To use this port, select the Output variance for parameter checkbox.
Parameters
Maximum number of estimates - maximum number of estimates
1.0 (by default) | positive integer
The maximum number of estimates specified as a positive integer. If the number of requested estimates is greater than the number of items in DetIdx, the remainder is filled with NaN.
Enable cluster ID input - enable cluster ID input
` disabled (by default)` | ` enabled`
Enable Cluster input port to transmit cluster association information.
Output variance for parameter - enable the output variance port
off (by default) | on
Enables output variance of parameters estimations through Var port.
Root-mean-square range resolution - range resolution
1.0 (by default) | positive scalar
Root-mean-square range resolution, specified as a positive scalar. This parameter must have the same units as the Range input port.
Dependencies
To use this parameter, select the Output variance for parameter checkbox.
Source of noise power - source of noise power
Property (By default) | Input port.
The source of noise power specified as Property or Input port.
If the parameter is set to Property, use the Noise power parameter to set the noise power at detection locations. If the parameter is set to Input port, the noise power will be set via the NoisePower input port.
Noise power - noise power values
1.0 (by default) | positive scalar.
Noise power for detections set as a positive scalar. The same noise power value is applied to all detections. The noise power is specified in linear units.
Dependencies
To use this parameter, select the Output variance for parameter checkbox and set the Source of noise power parameters to `Property'.