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Example: LFM Chirped Radar Design and Verification

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This LFM chirped Radar example shows a Linear FM (LFM) chirped Radar system designed using baseband and RF behavioral models. RF behavioral models enable the designer to quickly and easily vary parameters (such as gain, 1 dB compression point, third order intercept point, etc..) until the design meets specifications. Baseband behavioral model enable the designer to quickly and easily create custom or proprietary signals (such as the LFM chirped Radar signal) with math, matrix, and baseband functionality.

The LFM chirped Radar signal is passed into an RF upconverter, a transmit/receive switch, and a signal path model (antenna to target). The Radar cross section of the target is modeled, and a portion of the incident signal is reflected back through another signal path model (target to antenna), passed through the transmit/receive switch, and detected with a receiver (not shown). The target distance and Radar cross section can be varied during the simulation with sliders.

Design and Verification

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RF Circuit Implementation

Once the system design is completed, system performance can be verified with both baseband and circuit designs to help minimize system integration risk. This example shows the co-simulation of MATLAB®, HDL, and transistor-level circuit designs together in one design to verify the LFM chirped Radar system performance and to help minimize system integration risk.

In addition to the system simulation modeling described above, an RF receiver and baseband post-processing has been added to measure the Probability-of-Detection (POD). A narrowband satellite interference signal is also being generated and introduced into the receive path to evaluate the impact of interference on the probability of detecting the Radar target.

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Click on the following link to view a system simulation demo of the LFM chirped Radar system design with circuit co-simulation, HDL co-simulation, and MATLAB® co-simulation. The simulated spectrum shows the (wideband) Radar signal with the (narrowband) satellite interference signal. The satellite interferer signal strength is varied, in addition to the radar target's simulated Radar Cross-Section (RCS). The resulting Probability of Detection (POD) is measured.

»   System Simulation Demo LFM Chirped Radar System Design

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Integration Testing

This example shows the creation of a custom/proprietary real-world test signal using Agilent's Connected Solutions. Simulation is used to create the custom/proprietary signal, and integration with test instrumentation is used to turn the simulated signal into a real-world custom/proprietary test signal. This enables real-world test and measurement capability for custom/proprietary signal formats which do not exist in off-the-shelf test equipment.

A conceptual flow diagram of the process used is shown below. The simulated signal at the input of the Device-Under-Test (DUT) is captured in a file and then downloaded to the N6030 wideband arbitrary waveform generator. This turns the simulated signal into a real-world test signal containing the design impairments modeled in simulation.

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The DUT's output is then captured with an Infiniium Oscilloscope and transferred back into simulation for further post-processing with the rest of the system design modeled in simulation.

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This capability helps to minimize integration risk by enabling the system performance to be verified with a subset of the hardware available. This also enables real-world test and measurement capability for custom/proprietary signal formats which do not exist in off-the-shelf test equipment.

Connected Solutions Test Setup

The Connected Solutions test setup used is shown below. ADS is installed in the Infiniium Oscilloscope and the N6030 arbitrary waveform generator (note: this is an application example and is not a current product offering).

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The custom/proprietary LFM chirped Radar measurement is performed by capturing the measured signal, and transferring the signal into ADS for simulation post-processing to measure the probability of detecting the target. This enables real-world test and measurement capability for custom/proprietary signal formats which do not exist in off-the-shelf test equipment. For this example, ADS is installed in the Infiniium Oscilloscope (note: this is an application example and is not a current product offering).

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