Accounting for clutter in radar simulation.

I would like to know, how to account for a constant gamma clutter (I know that there is such a function but I don't know how to implement it) in simulating receving of signals in monostatic radar. In example "Simulating Test Signals for a Radar Receiver" it is only noice. I need to achieve a signal received from target in clutter in order to design clutter suppression filter.

Answer 1

[Vidip]

I understand that you want to know about how to account for a constant gamma clutter and how to implement the function for it. In radar signal processing, clutter refers to unwanted echoes from objects other than the target of interest (e.g., ground, sea, rain, birds, etc.). Clutter can often be modelled as a random process with certain statistical properties. One common model for clutter is the gamma distribution, which can be used to represent the amplitude or power of the clutter returns.

To simulate a received signal in the presence of constant gamma clutter in a monostatic radar scenario, you will need to generate clutter according to the gamma distribution and add it to your target signal and noise.

MATLAB provides functions for working with different distributions, including the gamma distribution. You can use the ‘gamrnd’ function to generate random numbers from the gamma distribution.

For further information, refer to the documentation link below:

• https://in.mathworks.com/help/stats/gamrnd.html#d126e513601