Abstract

A joint scan rate and emitter location estimation algorithm in scan-based radar (SBR) system based on the angle-of-arrival (AOA) and the difference time of scan time (DTOST) measurements is proposed in this paper. SBR localization is a kind of passive geolocation technique for stationary pulsed radars. To date, a huge number of passive localization techniques using AOA, DTOST or other measurements for SBR have been developed assuming prior knowledge of the scan rate. However, it is usually hard to obtain the accurate scan velocity in most of practical civilian and military applications. In this paper, by using the linear correlation between AOA and DTOST, the maximum likelihood (ML) estimation algorithm based on linear constraints is given to obtain the scan rate of SBR. And the new AOA information after fusion is acquired on this basis. Then the weighted least square (WLS) method is used for SBR localization and the Cramer-Rao lower bound (CRLB) is derived for SBR location estimation. A detailed analysis of scan rate and emitter location estimation process is given and the effectiveness of the proposed localization algorithm is illustrated with computer simulations.

Highlights

  • Emitter passive localization technique [1]–[3] has many military and civilian applications such as target location and tracking in electronic warfare systems and mobile user localization in wireless mobile telecommunication systems

  • A closed-form localization algorithm using the AOA and difference time of scan time (DTOST) measurements in scan-based radar (SBR) was proposed in paper [11], and the DTOST can be converted into subtended angle (SA) with the known radar scan velocity

  • Li et al.: Joint Scan Rate and Emitter Location Estimation Algorithm in SBR System Based on AOA and DTOST Measurements were combined in paper [12] to get the position of SBR

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Summary

INTRODUCTION

Emitter passive localization technique [1]–[3] has many military and civilian applications such as target location and tracking in electronic warfare systems and mobile user localization in wireless mobile telecommunication systems. For the scan-based radar (SBR) localization [4]–[6], one popular method is the angle-of-arrival (AOA) technique, which can be measured directly by an array sensor. A closed-form localization algorithm using the AOA and DTOST measurements in SBR was proposed in paper [11], and the DTOST can be converted into SA with the known radar scan velocity. W. Li et al.: Joint Scan Rate and Emitter Location Estimation Algorithm in SBR System Based on AOA and DTOST Measurements were combined in paper [12] to get the position of SBR.

MEASUREMENT MODELS AND SCAN
SIMULATIONS
Findings
CONCLUSION
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