Ambiguity Function Analysis for Orthogonal-LFM Waveform Based Multistatic Radar

Autor: Valarmathi Jayaraman, Dillip Dash
Rok vydání: 2021
Předmět:
Zdroj: IEEE Sensors Letters. 5:1-4
ISSN: 2475-1472
DOI: 10.1109/lsens.2021.3129081
Popis: Over the last decade research on multistatic radar waveform design has attracted significant consideration among the radar system designers. Among the waveform design techniques, linear frequency modulated waveforms are widely used but the problem associated with it is range Doppler coupling and complexity in achieving adequate pulse-to-pulse diversity. In this work an orthogonal linear frequency modulated (OLFM) waveform has been used as the transmitted waveforms which has good correlation properties and large time bandwidth product. The ambiguity function which is the output of the matched filter are used to analyze the target resolution capabilities of the OLFM waveforms. The mathematical expressions of the ambiguity function with OLFM waveforms for the multistatic architecture are represented based on the target fluctuations observed at the receiver. These expressions allow the ambiguity in resolving target position and velocity vectors for any transmitted waveform in the multistatic topology. The normalized cross correlation value of the LFM waveforms are compared with the OLFM waveforms which signifies the isolation factor between two transmitted waveforms at the receiver. A performance comparison has been made based on the probability of target detection for various multistatic scenarios under various signal to noise ratio conditions
Databáze: OpenAIRE