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Range-Doppler response

Detection

`phaseddetectlib`

The Range-Doppler Response block computes the range-doppler map of an input signal. The output response is a matrix whose rows represent range gates and whose columns represent Doppler bins.

**Range processing method**Specify the method of range processing as

`Matched filter`

or`FFT`

`Matched filter`

Applies a matched filter to the incoming signal. This technique is commonly used for pulsed signals, where the matched filter is the time reverse of the transmitted signal. Choosing this option creates the `Coeff`

input port.`FFT`

Performs range processing by applying an FFT to the input signal. This approach is commonly used with FMCW and linear FM pulsed signals. **Signal propagation speed (m/s)**Specify the propagation speed of the signal, in meters per second, as a positive scalar.

**Source of pulse repetition frequency**Source of pulse repetition frequency, specified as

`Auto`

— automatically compute the pulse repetition frequency (PRF). The PRF is the sample rate of the signal divided by the number of rows in the input port signal,`X`

.`Property`

— specify the pulse repetition frequency using the`PRF`

parameter.`Input port`

— specify the PRF using the`PRF`

input port.

Use the

`Property`

or`Input port`

option when the pulse repetition frequency cannot be determined by the signal duration, as is the case with range-gated data.**Pulse repetition frequency of the input signal (Hz)**Pulse repetition frequency of the input signal, specified as a positive scalar.

`PRF`

must be less than or equal to the sample rate divided by the number of rows of the input signal. When the signal length is variable, use the maximum possible number of rows of the input signal instead.To enable this parameter, set the

**Source of pulse repetition frequency**parameter to`Property`

.**Inherit sample rate**Select this check box to inherit the sample rate from upstream blocks. Otherwise, specify the sample rate using the

**Sample rate**parameter.**Sample rate**Specify the signal sampling rate (in hertz) as a positive scalar. This parameter appears only when the

**Inherit sample rate**parameter is not selected.**Source of FFT length in Doppler processing**Specify how the block determines the length of the FFT used in Doppler processing. Values of this parameter are

`Auto`

The FFT length equals the number of rows of the input signal. `Property`

The **FFT length in Doppler processing**parameter of this block specifies the FFT length.**FFT length in Doppler processing**This parameter appears only when you set

**Source of FFT length in Doppler processing**to`Property`

. Specify the length of the FFT used in Doppler processing as a positive integer.**Doppler processing window**Specify the window used for Doppler processing using one of

`None`

`Hamming`

`Chebyshev`

`Hann`

`Kaiser`

`Taylor`

If you set this parameter to

`Taylor`

, the generated Taylor window has four nearly-constant sidelobes adjacent to the mainlobe.**Doppler sidelobe attenuation level**This parameter appears only when

**Doppler processing window**is set to`Kaiser`

,`Chebyshev`

, or`Taylor`

. Specify the sidelobe attenuation level as a positive scalar, in decibels.**Doppler output**Specify the Doppler domain output as

`Frequency`

or`Speed`

`Frequency`

Doppler shift, in hertz. `Speed`

Radial speed corresponding to Doppler shift, in meters per second. **Signal carrier frequency (Hz)**This parameter appears only when you set

**Doppler output**to`Speed`

. Specify the carrier frequency, in hertz, as a scalar.**FM sweep slope (Hz/s)**This parameter appears only when you set

**Range processing method**to`FFT`

. Specify the slope of the linear FM sweeping, in hertz per second, as a scalar.**Dechirp input signal**This check box appears only when you set

**Range processing method**to`FFT`

. Select this check box to make the block perform the dechirp operation on the input signal. Clear this check box to indicate that the input signal is already dechirped and no dechirp operation is necessary.**Source of FFT length in range processing**Specify how the block determines the FFT length in range processing. Values of this parameter are

`Auto`

The FFT length equals the number of rows of the input signal. `Property`

The FFT length is specified by **FFT length in range processing**.This parameter appears only when you set

**Range processing method**to`FFT`

.**FFT length in range processing**This parameter appears only when you set

**Range processing method**to`FFT`

and**Source of FFT length in range processing**to`Property`

. Specify the FFT length in the range domain as a positive integer.**Range processing window**This parameter appears only when you set

**Range processing method**to`FFT`

. Specify the window used for range processing using one of`None`

`Hamming`

`Chebyshev`

`Hann`

`Kaiser`

`Taylor`

If you set this parameter to

`Taylor`

, the generated Taylor window has four nearly-constant sidelobes adjacent to the mainlobe.**Range sidelobe attenuation level**This parameter appears only when you set

**Range processing method**to`FFT`

and**Range processing window**to`Kaiser`

,`Chebyshev`

, or`Taylor`

. Specify the sidelobe attenuation level as a positive scalar, in decibels.**Simulate using**Block simulation method, specified as

`Interpreted Execution`

or`Code Generation`

. If you want your block to use the MATLAB^{®}interpreter, choose`Interpreted Execution`

. If you want your block to run as compiled code, choose`Code Generation`

. Compiled code requires time to compile but usually runs faster.Interpreted execution is useful when you are developing and tuning a model. The block runs the underlying System object™ in MATLAB. You can change and execute your model quickly. When you are satisfied with your results, you can then run the block using

`Code Generation`

. Long simulations run faster than they would in interpreted execution. You can run repeated executions without recompiling. However, if you change any block parameters, then the block automatically recompiles before execution.When setting this parameter, you must take into account the overall model simulation mode. The table shows how the

**Simulate using**parameter interacts with the overall simulation mode.When the Simulink

^{®}model is in`Accelerator`

mode, the block mode specified using**Simulate using**overrides the simulation mode.For more information, see Choosing a Simulation Mode (Simulink) from the Simulink documentation.**Acceleration Modes**Block Simulation Simulation Behavior `Normal`

`Accelerator`

`Rapid Accelerator`

`Interpreted Execution`

The block executes using the MATLAB interpreter. The block executes using the MATLAB interpreter. Creates a standalone executable from the model. `Code Generation`

The block is compiled. All blocks in the model are compiled.

The block input and output ports correspond to the input and
output parameters described in the `step`

method of
the underlying System
object. See link at the bottom of this page.

Port | Description | Supported Data Types |
---|---|---|

`X` | Input signal. The size of the first dimension of this input matrix can vary to simulate a changing signal length, such as a pulse waveform with variable pulse repetition frequency. Signal
lengths can vary when you use pulse waveforms. Then you can only apply
the | Double-precision floating point |

`Coeff` | Matched-filter coefficients. | Double-precision floating point |

`XRef` | Reference signal | Double-precision floating point |

`PRF` | Pulse repetition frequency | Double-precision floating point |

`Resp` | Range-Doppler response. | Double-precision floating point |

`Range` | Range grid. | Double-precision floating point |

`Dop` | Doppler grid. | Double-precision floating point |

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