Design a monostatic pulse radar to estimate the target range. A monostatic radar has the transmitter collocated with the receiver. The transmitter generates a pulse which hits the target and produces an echo received by the receiver. By measuring the location of the echoes in time, we can estimate the range of a target.

Model frequency agility in radar, communications and EW systems to counter the effects of interference.

The design of a moving target indication (MTI) radar to mitigate the clutter and identify moving targets. For a radar system, clutter refers to the received echoes from environmental scatters other than targets, such as land, sea or rain. Clutter echoes can be many orders of magnitude larger than target echoes. An MTI radar exploits the relatively high Doppler frequencies of moving targets to suppress clutter echoes, which usually have zero or very low Doppler frequencies.

Demonstrates how to process and visualize FMCW echoes acquired via the Demorad Radar Sensor Platform with the Phased Array System Toolbox™. By default, I/Q samples and operating parameters are read from a binary file that is provided with this example. Optionally, the same procedure can be used to transmit, receive, and process FMCW reflections from live I/Q samples with your own Demorad by following the instructions later in the example. Acquiring and processing results in one environment decreases development time, and facilitates the rapid prototyping of radar signal processing systems.

Simulate a multifunction phased array radar system. A multifunction radar can perform jobs that usually require multiple traditional radars. Examples of traditional radars are scanning radars, which are responsible for searching targets, and tracking radars, which are responsible for tracking targets. In this example, the multifunction phased array radar performs both scanning (searching) and tracking tasks. Based on the detections and tracks obtained from the current echo, the radar decides what to do next to ensure that targets of interest are tracked and the desired airspace is searched. The multifunction phased array radar works as a closed loop, including features such as task scheduling, waveform selection, detection generation, and target tracking.

Simulates a phased array radar that periodically scans a predefined surveillance region. A 900-element rectangular array is used in this monostatic radar. Steps are introduced to derive the radar parameters according to specifications. After synthesizing the received pulses, detection and range estimation are performed. Finally, Doppler estimation is used to obtain the speed of each target.

Modern aircraft often carry a radar warning receiver (RWR) with them. The RWR detects the radar emission and warns the pilot when the radar signal shines on the aircraft. An RWR can not only detect the radar emission, but also analyze the intercepted signal and catalog what kind of radar is the signal coming from. This example shows how an RWR can estimate the parameters of intercepted signal. The example simulates a radar scenario for a ground surveillance radar (emitter) and a flying aircraft (target) equipped with an RWR. The RWR intercepts radar signals, extracts the waveform parameters from the intercepted signal, and estimates the location of the emitter. The extracted parameters can be utilized by the aircraft to take counter-measures.

Simulate a polarimetric bistatic radar system to estimate the range and speed of targets. Transmitter, receiver and target kinematics are taken into account. For more information regarding polarization modeling capabilities, see Modeling and Analyzing Polarization.

Model a spotlight-based Synthetic Aperture Radar (SAR) system using a Linear FM (LFM) Waveform. In case of squint mode, the SAR platform is squinted either to look forward or backward by certain angle from broadside depending upon the need. The squint mode helps in imaging regions lying ahead of the current radar platform location or to image locations lying behind the platform location for interferometric applications. The challenge in squint mode is higher due to the range azimuth coupling. Because the resolution of SAR depends upon the signal and antenna configuration, resolution can be much higher than for vision-based imaging systems. Using spotlight mode, this example performs range migration algorithm [1,3] to image stationary targets lying ahead of the SAR platform location. A Linear FM waveform offers the advantage of large time-bandwidth product at a considerably lower transmit power making it suitable for use in airborne systems. For more details on the terminology used in this example see the details here (<docid:phased_ug#example_ex39468543>)

Model a stripmap-based Synthetic Aperture Radar (SAR) system using a Linear FM (LFM) Waveform. SAR is a type of side-looking airborne radar where the achievable cross-range resolution is much higher as compared to a real aperture radar. The image generated using SAR has its own advantages primarily pertaining to the use of an active sensor (radar) as opposed to conventional imaging systems employing a passive sensor (camera) that rely on the ambient lighting to obtain the image. Since an active sensor is used, the system provides all-weather performance irrespective of snow, fog, or rain, for example. Also, configuring the system to work at different frequencies such as L-, S-, or C-band can help analyze different layers on the ground based on varying depth of penetrations. Because the resolution of SAR depends upon the signal and antenna configuration, resolution can be much higher than for vision-based imaging systems. Using stripmap mode, this example performs both a range migration algorithm [1] and an approximate form of a back-projection algorithm [2] to image stationary targets. The approximate form of the back-projection algorithm has been chosen for the reduced computational complexity as indicated in [3]. A Linear FM waveform offers the advantage of large time-bandwidth product at a considerably lower transmit power making it suitable for use in airborne systems.

Use scenario viewer to visualize the radar system theater.

How waveform type affects radar detection performance. The example considers the situation where a new performance goal is set for an existing radar system design . Since the old design can no longer achieve the desired performance, a new waveform is adopted. The example also shows how to model Swerling targets, simulate the return, and then detect the target ranges.

Model an end-to-end monostatic radar using Simulink®. A monostatic radar consists of a transmitter colocated with a receiver. The transmitter generates a pulse which hits the target and produces an echo received by the receiver. By measuring the time location of the echoes, you can estimate the range of the target. The first part of this example demonstrates how to detect the range of a single target using the equivalent of a single element antenna. The second part of the example will show how to build a monostatic radar with a 4-element uniform linear array (ULA) that detects the range of 4 targets.

Model frequency agility techniques to counter the effects of interference in radar, communications, and EW systems. Using Simulink, a scenario is created with a ground based radar and an approaching aircraft who can also emit jamming signals. A similar example in MATLAB can be found in Frequency Agility in Radar, Communications, and EW Systems.

Simulate a wideband radar system. A radar system is typically considered to be wideband when its bandwidth exceeds 5% of the system's center frequency. For this example, a bandwidth of 10% will be used.

In a radar system, the RF front end often plays an important role in defining the system performance. For example, because the RF front end is the first section in the receiver chain, the design of its low noise amplifier is critical to achieving the desired signal to noise ratio (SNR). This example shows how to incorporate RF front end behavior into an existing radar system design.

In radar operation, it is often necessary to adjust the operation mode based on the target return. This example shows how to model a radar that changes its pulse repetition frequency (PRF) based on the radar detection.

Simulates a bistatic radar system with two targets. The transmitter and the receiver of a bistatic radar are not co-located and move along different paths.

In radar operation, it is often necessary to adjust the operation mode based on the target return. This example shows how to model a radar that changes its pulse repetition frequency (PRF) based on the radar detection.