Error-based Adaptive Update Rate in multi-function Phased-array Radar Using IMM Target-Tracking Algorithm
نویسندگان
چکیده
An adaptive-update-rate target-tracking algorithm is indeed a developed version of constant-update-rate tracking algorithms. The update rate is closely related with the level of target maneuvering and the required quality of tracking performance— the shorter the time intervals between two successive updates, the better the radar resources are made use of. Considering the needs of the phased-array radar system and multi-function tracking, we here propose an algorithm which makes a better use of radar resources; therefore, many targets can be tracked with an improved accuracy, and more regions can be detected. The proposed algorithm is based upon the adaptive interactive tracking algorithm (AIMM); the revisit time has been calculated using Van Keuk method, and then the fast AIMM has been amended such that the tracking error is no more than that in Van Keuk method. Our proposed algorithm which has a revisit time different than Van Keuk’s results in 62% saving of the radar resources.
منابع مشابه
An Improved Interacting Multiple Model Algorithm for Target Tracking Based on ANFIS
IMM (Interacting Multiple Model) algorithm is widely used in target tracking, and its basic principle is described in detail at first. However, the IMM algorithm fails to obtain the prior probability of model conversion quickly and accurately when tracking for target. In this paper, an improved IMM algorithm based on ANFIS (the adaptive neural fuzzy inference system) is proposed. The improved a...
متن کاملMultifunction Radar Reso using Tracking Op
In this paper we report on t h e relationship between track update intervals and track accuracy in a Multifunction phased array radar system. Strategies for selecting the update rate are highlighted and the degradation o f performance as update rate reduces is demonstrated. It is shown that using suitable techniques considerable radar resources can be liberated f o r non-tracking tasks.
متن کاملMicromotion feature extraction of radar target using tracking pulses with adaptive pulse repetition frequency adjustment
In multifunction phased array radar systems, different activities (e.g., tracking, searching, imaging, feature extraction, recognition, etc.) would need to be performed simultaneously. To relieve the conflict of the radar resource distribution, a micromotion feature extraction method using tracking pulses with adaptive pulse repetition frequencies (PRFs) is proposed in this paper. In this metho...
متن کاملA New Algorithm for Phased Array Radar Search Function Improvement in Overload Situations
A new algorithm is proposed for phased array radar search function resource allocation. The proposed algorithm adaptively priorities radar search regions and in overload situations, based on available resources, radar characteristics, maximum range and search regions, optimally allocates radar resources in order to maximize probability of detection. The performance of new algorithm is evaluated...
متن کاملComplexity Analysis of Heuristic Pulse Interleaving Algorithms for Multi-Target Tracking with Multiple Simultaneous Receive Beams
This paper presents heuristic pulse interleaving algorithms for multi-target tracking on pulse Doppler phased array radars that can process multiple simultaneous received beams. The pulse interleaving problems for element and subarray level digital beamforming architectures are formulated as the same integer program and the asymptotic time complexities of the algorithms are analyzed.
متن کامل