Using a New Circular Prediction Algorithm to Design an IMM Filter for Low Update Rate Radar System
For radar systems with low update rates; such as track-while-scan (TWS) systems using rotating phased array antennas; reducing the prediction error is a very important issue. A good interacting multiple models (IMM) hybrid filter combined with circular and linear filters that are defined in relation...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/18/5035 |
| _version_ | 1797416722636996608 |
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| author | Yung-Lung Lee |
| author_facet | Yung-Lung Lee |
| author_sort | Yung-Lung Lee |
| collection | DOAJ |
| description | For radar systems with low update rates; such as track-while-scan (TWS) systems using rotating phased array antennas; reducing the prediction error is a very important issue. A good interacting multiple models (IMM) hybrid filter combined with circular and linear filters that are defined in relation to three measurements has been proposed in the literature. However; the algorithm requires three previous measurements; and too much prior information will result in a reduced ability to predict the future position of a highly maneuvering target. A new circular prediction algorithm for maneuvering target tracking is proposed as a non-linear prediction filter in this paper. Based on this new predictor; we also proposed a new type of IMM filter that has good estimation performance for high maneuvering targets. The proposed hybrid filter is entirely defined in relation to two measurements in a three-dimensional space to obtain a better maneuver following capability than the three measurements hybrid filter. Two target profiles are included for a comparison of the performance of our proposed scheme with that of the conventional circular; linear and IMM filters. The simulation results show that under low update rates; the proposed filter has a faster and more stable estimation response than other filters |
| first_indexed | 2024-03-09T06:08:16Z |
| format | Article |
| id | doaj.art-52caa27205a24a34a58c530a81654735 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T06:08:16Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-52caa27205a24a34a58c530a816547352023-12-03T12:01:16ZengMDPI AGSensors1424-82202020-09-012018503510.3390/s20185035Using a New Circular Prediction Algorithm to Design an IMM Filter for Low Update Rate Radar SystemYung-Lung Lee0Department of Power Vehicle and Systems Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan City 335, TaiwanFor radar systems with low update rates; such as track-while-scan (TWS) systems using rotating phased array antennas; reducing the prediction error is a very important issue. A good interacting multiple models (IMM) hybrid filter combined with circular and linear filters that are defined in relation to three measurements has been proposed in the literature. However; the algorithm requires three previous measurements; and too much prior information will result in a reduced ability to predict the future position of a highly maneuvering target. A new circular prediction algorithm for maneuvering target tracking is proposed as a non-linear prediction filter in this paper. Based on this new predictor; we also proposed a new type of IMM filter that has good estimation performance for high maneuvering targets. The proposed hybrid filter is entirely defined in relation to two measurements in a three-dimensional space to obtain a better maneuver following capability than the three measurements hybrid filter. Two target profiles are included for a comparison of the performance of our proposed scheme with that of the conventional circular; linear and IMM filters. The simulation results show that under low update rates; the proposed filter has a faster and more stable estimation response than other filtershttps://www.mdpi.com/1424-8220/20/18/5035circular predictormaneuvering target trackingnonlinear filtersInteracting Multiple Models (IMM) filter |
| spellingShingle | Yung-Lung Lee Using a New Circular Prediction Algorithm to Design an IMM Filter for Low Update Rate Radar System Sensors circular predictor maneuvering target tracking nonlinear filters Interacting Multiple Models (IMM) filter |
| title | Using a New Circular Prediction Algorithm to Design an IMM Filter for Low Update Rate Radar System |
| title_full | Using a New Circular Prediction Algorithm to Design an IMM Filter for Low Update Rate Radar System |
| title_fullStr | Using a New Circular Prediction Algorithm to Design an IMM Filter for Low Update Rate Radar System |
| title_full_unstemmed | Using a New Circular Prediction Algorithm to Design an IMM Filter for Low Update Rate Radar System |
| title_short | Using a New Circular Prediction Algorithm to Design an IMM Filter for Low Update Rate Radar System |
| title_sort | using a new circular prediction algorithm to design an imm filter for low update rate radar system |
| topic | circular predictor maneuvering target tracking nonlinear filters Interacting Multiple Models (IMM) filter |
| url | https://www.mdpi.com/1424-8220/20/18/5035 |
| work_keys_str_mv | AT yunglunglee usinganewcircularpredictionalgorithmtodesignanimmfilterforlowupdaterateradarsystem |