# Matched Filter

Matched filter

**Libraries:**

Phased Array System Toolbox /
Detection

## Description

The Matched Filter block implements matched filtering of an input signal. Matched filtering is an FIR filtering operation with the coefficients equal to the time reversed samples of the transmitted signal. The filter can improve SNR before detection.

## Ports

### Input

**X** — Input signal

*M*-by-*N* complex valued
matrix

Input signal, specified as an
*M*-by-*N* complex valued matrix.
Matched filtering is applied along the first dimension. The input
`X`

and the output `Y`

have
the same dimensions. The initial transient is removed from the filtered
result.

The size of the first dimension of the input matrix can vary to simulate a changing signal length. A size change can occur, for example, in the case of a pulse waveform with variable pulse repetition frequency.

**Data Types: **`double`

**Coeff** — Matched filter coefficients

*M*-length complex column vector

Matched filter coefficients, specified as an
*M*-length complex column vector.

#### Dependencies

To enable this port, set the **Source of
coefficients** pull-down menu ```
Input
port
```

.

**Data Types: **`double`

### Output

**Y** — Matched filter output

*M*-by-*N* complex valued
matrix

Matched filter output, returned as an
*M*-by-*N* complex valued matrix.
The dimensions of `Y`

are the same as the dimensions
of `X`

.

**Data Types: **`double`

**G** — Matched-filter gain

*N*-length real-valued

Matched-filter gain, returned as an *N* real-valued
matrix. Gain is computed for each column of `X`

.
Units are in dB.

#### Dependencies

To enable this port, select the **Enable SNR gain
output** check box.

**Data Types: **`double`

## Parameters

**Source of coefficients** — Source of matched filter coefficients

`Property`

(default) | `Input port`

Specify whether the matched filter coefficients come from
**Coefficients** or from an input port.

`Property`
| Matched filter coefficients are specified by Coefficients. |

`Input port`
| Matched filter coefficients are specified via the input port
`Coeff` . |

**Coefficients** — Matched filter coefficients

`[1;1]`

(default)

Specify the matched filter coefficients as a column vector. This parameter
appears when you set **Source of coefficients** to
`Property`

.

**Spectrum window** — Window for spectrum weighting

`None`

(default) | `Hamming`

| `Chebyshev`

| `Hann`

| `Kaiser`

| `Taylor`

Specify the window used for spectrum weighting using one of

`None` |

`Hamming` |

`Chebyshev` |

`Hann` |

`Kaiser` |

`Taylor` |

Spectrum weighting is often used with linear FM waveforms to reduce sidelobe levels in the time domain. The block computes the window length internally to match the FFT length.

**Spectrum window range (Hz)** — Spectrum window coverage region

`[0, 1e5]`

(default)

Specify the spectrum region, in hertz, on which the spectrum window is
applied as a 1-by-2 vector in the form of
`[StartFrequency,EndFrequency]`

.

Note that both `StartFrequency`

and
`EndFrequency`

are measured in baseband. That is, they
are within `[-Fs/2,Fs/2]`

, where `Fs`

is
the sample rate specified in any of the waveform library blocks. The
parameter `StartFrequency`

must be less than
`EndFrequency`

.

#### Dependencies

This parameter appears when you set the **Spectrum
window** parameter to any value other than
`None`

.

**Inherit sample rate** — Inherit sample rate from upstream blocks

on (default) | off

Select this parameter to inherit the sample rate from upstream blocks. Otherwise,
specify the sample rate using the **Sample rate (Hz)**
parameter.

**Data Types: **`Boolean`

**Sample rate (Hz)** — Sample rate of the output waveform

`1e6`

(default) | positive scalar

Sample rate of the output waveform, specified as a positive scalar. The ratio of
**Sample rate (Hz)** to each element in the **Pulse
repetition frequency (Hz)** vector must be an integer. This restriction is
equivalent to requiring that the pulse repetition interval is an integral multiple of
the sample interval.

#### Programmatic Use

Block
Parameter:`SampleRate` |

Type:double |

Values:positive scalar |

Default:`1e6` |

**Sidelobe attenuation level** — Window sidelobe attenuation level

`30`

(default)

Specify the sidelobe attenuation level, in dB, of a Chebyshev or Taylor window as a positive scalar.

#### Dependencies

This parameter appears when you set **Spectrum
window** to `Chebyshev`

or
`Taylor`

.

**Kaiser shape parameter** — Kaiser shape parameter

`0.5`

(default)

Specify the parameter that affects the Kaiser window sidelobe attenuation
as a nonnegative scalar. Please refer to the function `kaiser`

for more
details.

#### Dependencies

This parameter appears when you set the **Spectrum
window** parameter to
`Kaiser`

.

**Number of constant level sidelobes** — Number of nearly constant sidelobes in Taylor window

`4`

(default)

Specify the number of nearly-constant-level sidelobes adjacent to the mainlobe in a Taylor window as a positive integer.

#### Dependencies

This parameter appears when you set the **Spectrum
window** parameter to
`Taylor`

.

**Enable SNR gain output** — Enable SNR gain output

off (default) | on

Select this check this box to obtain the matched filter SNR gain via the
output port `G`

. The output port appears only when this box
is selected.

**Simulate using** — Block simulation method

`Interpreted Execution`

(default) | `Code Generation`

Block simulation, 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 with generated code than in
interpreted execution. You can run repeated executions without recompiling, but if you
change any block parameters, then the block automatically recompiles before
execution.

This table shows how the **Simulate using** parameter affects the
overall simulation behavior.

When the Simulink^{®} model is in `Accelerator`

mode, the block mode specified
using **Simulate using** overrides the simulation mode.

**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. |

For more information, see Choosing a Simulation Mode (Simulink).

#### Programmatic Use

Block
Parameter:`SimulateUsing` |

Type:enum |

Values:```
Interpreted
Execution
``` , `Code Generation` |

Default:```
Interpreted
Execution
``` |

## Version History

**Introduced in R2014b**

## See Also

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