A Method for Selecting Sensor Waveforms Based Upon Post-Selection Criteria for Remote Sensing Applications

TL;DR

This paper introduces a method for selecting radar sensor waveforms based on post-selection criteria, optimizing the detection of specific target characteristics through a perturbation theory approach grounded in the matched filter principle.

Contribution

It presents a novel waveform selection method for radar sensors that enhances detection capabilities for specific target operators using a perturbation theory framework.

Findings

Method effectively optimizes waveform selection for target detection

Demonstrates improved detection of specific operators

Applicable to various radar target characteristics

Abstract

In previous work, we have argued that measurement using a radar can be viewed as taking the expected value of an operator. The operator usually represents some aspect of the characteristics of the object being tracked (such as Doppler, distance, shape, polarization, etc.) that is measured by the radar while the expectation is taken with respect to an optimal matched filter design process based on the waveform broadcast by the radar and a receiver which is optimized to a specific characteristic of the object being tracked. With digital technology, it is possible to produce designer waveforms both to broadcast and to mix with the return signal, so it is possible to determine the maximum of the expectation of the operator by proper choice of the received signal. We illustrate a method for selecting the choice of the return signal to detect different "target operators" using perturbation theory based on the Matched Filter Principle and illustrate it with different operators and waveforms.