Linear Frequency Modulation (LFM) Compression in Surveillance Radars: An Alternative for Target Discrimination in a Multi-Threat Scenario

The root-mean-square errors of the position lines are estimated when using direction-finding and difference-range methods based on a matrix receiver with an autocorrelation algorithm at the output. The study compares the accuracy of determining the location of radio emission sources with linear-frequency-modulated and phase-code-shifted signals by a matrix receiver with an autocorrelation algorithm at the output and a matrix receiver with a detector algorithm at the output. A comparative analysis of calculating the ratio between the root-mean-square errors of locating radio emission sources is performed using a matrix receiver with the connection of different algorithms at the output. The study establishes the expediency of using a matrix receiver with an autocorrelation algorithm at the output and a matrix receiver with a detector algorithm at the output for various methods of determining the location of a radio emission source. Findings are given.

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Linear Frequency Modulation (LFM) Compression in Surveillance Radars: An Alternative for Target Discrimination in a Multi-Threat Scenario

Cited by 3 publications

References 2 publications

Comparative Analysis between SAR Pulse Compression Techniques

Comparative Analysis between SAR Pulse Compression Techniques

On the Performance of Range Doppler Processor for Target Detection Based on the NMSE

Studying the Accuracy of Determining the Location of Radio Emission Sources With Complex Signals When Using a Matrix Receiver With an Autocorrelation Algorithm at the Output

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