阅读说明：本技术 基于广义时间窗的旋转相控阵雷达跟踪波束编排方法 (Generalized time window-based tracking beam arrangement method for rotary phased array radar ) 是由 李纪三 班阳阳 侯娇 陈稳 于 2020-06-12 设计创作，主要内容包括：本发明涉及一种基于广义时间窗的旋转相控阵雷达跟踪波束编排方法。该方法主要适用于旋转相控阵雷达的跟踪任务的波束编排。技术方案是：根据旋转相控阵雷达波束偏扫的限制计算出目标的跟踪的方位窗,根据天线的转速换算出目标跟踪的广义时间窗,利用广义时间窗进行波束编排,编排完成后确定了目标跟踪的执行时刻,根据目标的状态信息,外推出目标在跟踪执行时刻的方位和仰角,将此方位和仰角作为任务请求执行的位置,相比较于传统的数据处理提出位置请求和执行时刻的波束编排方法,当同方位上跟踪任务多,同时竞争同一时间片时,该方法采用广义时间窗进行任务编排,时能够显著提高任务编排的成功率。(The invention relates to a rotating phased array radar tracking wave beam arranging method based on a generalized time window. The method is mainly suitable for beam arrangement of a tracking task of the rotary phased array radar. The technical scheme is as follows: the method comprises the steps of calculating a tracking azimuth window of a target according to the limitation of beam deflection scanning of a rotary phased array radar, converting a generalized time window of target tracking according to the rotating speed of an antenna, arranging beams by using the generalized time window, determining the execution time of target tracking after arranging, extrapolating the azimuth and elevation of the target at the tracking execution time according to the state information of the target, and taking the azimuth and elevation as the position of task request execution.)

1. The method for arranging the tracking beams of the rotating phased array radar based on the generalized time window is characterized in that:

s1: calculating a tracking azimuth window of the target according to the limitation of the beam deflection scanning of the rotary phased array radar; the maximum azimuth sweep angle of the phased array radar isWhen the target is at the azimuth position psi, the antenna array is at the azimuth

s2: converting a generalized tracking time window t _ window of target tracking according to the rotating speed of the antenna; the rotation period of the antenna is T, and the time when the antenna rotates through the target azimuth window is the generalized tracking time window:

s3: receiving a tracking request provided by data processing, and calculating a time window of the request: the tracking request comprises parameters of a target batch number, a position under a target geodetic coordinate system, an azimuth elevation distance under the target geodetic coordinate system, a task expected execution time t _ hope and a task priority; the time window is [ t _ hope-0.5 t _ window, t _ hope +0.5 t _ window ];

s4: arranging tasks according to the expected execution time of the tasks and the generalized tracking time window calculated in the step S2;

s5: extrapolating the target position at the task execution time according to the state of the target: first, the position (x, y, z) of the target at the time of extrapolation in a rectangular coordinate system is calculated:

x＝x_0+v_x*(t_excute-t_hope)；

y＝y_0+v_y*(t_excute-t_hope)；

z＝z_0+v_z*(t_excute-t_hope)；

converting the position in the rectangular coordinate system into distance, elevation angle and azimuth (r, beta, theta) in the measuring coordinate system

S6: the position (r, β, θ) calculated in step S5 and t _ excute calculated in step S4 are sent to the wave controller as the task execution time and position.

2. The generalized time window based rotating phased array radar tracking beam scheduling method of claim 1, wherein: the arranging method in the step S4 includes: when the scheduling interval comes, the tasks with the time windows falling in the scheduling interval are taken out, the tasks are scheduled according to the priority, and the tasks which are not scheduled are put back to the task chain table.

Technical Field

The invention belongs to a wave beam arrangement technology in the resource management of a rotary phased array radar.

Background

According to the situation of task load, the rotary phased array radar can self-adaptively adjust working parameters under the action of a radar controller, and switches beams among various working modes such as searching, tracking and the like. Therefore, under a certain hardware condition, the research of a more flexible and efficient task scheduling algorithm has important significance for further improving the performance to fully exert the potential of the phased array radar. Task scheduling refers to reasonably arranging execution sequences of various tasks under the condition of a given task set so as to improve the scheduling success rate and the time utilization rate of the tasks to the maximum extent while meeting constraint conditions.

In order to fully exert the multifunctional advantages, the resources such as limited time and energy of the system must be effectively managed and reasonably distributed. Huizing proposed the concept of radar task time windows when multi-phased array radar resource simulation was done in 1996. With this time window constraint, the resource allocation can be flexibly arranged when designing the resource scheduler. Therefore, the specific meaning of the time window is an effective range in which the actual emission time of the beam dwell can move around the expected emission time, and if the beam dwell is not executed beyond the range of the time window, the radar time request is considered to be failed.

The concept of the time window is based on a radar tracking working mode, the specific meaning of the time window is that the actual emission time of a radar event can move within an effective range around the expected emission time, and if the radar event is not executed beyond the range of the time window, and even if the radar event is called again, the radar event is abandoned to be scheduled. In this way, many events that are discarded due to time conflicts can be scheduled by scheduling the time window, thereby improving the time utilization.

According to the basic principle of the time window, the relevant factors of the time window design are analyzed. And according to the predicted target position, applying for a radar beam to irradiate the airspace at the time t0, so that the axis of the antenna points to the target direction, and the signal received by the radar is strongest at the moment. t0 is the expected execution time for the radar event. When the radar event is performed at time t1 (t1> t0), the radar event is performed so that the target can be detected as long as the target does not pass through the radar discrimination unit. But once the target passes the radar resolution unit, it does not make any sense to perform the event again. The analysis described above is directed to deferred execution, as well as advanced execution.

According to the self-adaptive scheduling strategy designed based on the time window, the range is larger in a certain distance according to the fact that a radar distinguishing unit (beam width), the time that a target flies through the distinguishing unit is longer at the moment, the time that the target passes through the distinguishing unit can be known according to the position, the speed and the distance of the target of Kalman filtering and the time that the radar distinguishing unit passes through the distinguishing unit, and the size of a radar tracking task time window is designed according to the time.

For high-speed, highly mobile targets, the distance of the target through the radar resolution unit is relatively small in the range of relatively close distance to the radar, so the time window for tracking is also particularly small, typically between tens of milliseconds and tens of milliseconds. Research shows that under the condition of large tracking task load, a larger time window can improve the success rate of task scheduling, and a small time window can cause a plurality of tasks to compete for the same time slice to cause task scheduling failure.

Disclosure of Invention

The invention provides a method for arranging tracking beams of a rotary phased array radar based on a generalized time window, aiming at the problems that the tracking time window is small in a traditional scheduling algorithm for providing a position request and an execution time in data processing, and the scheduling fails when multiple tracking tasks are performed in the same direction and multiple tasks compete for the same time slice.

The invention provides a generalized time window-based rotating phased array radar tracking beam arranging method, which comprises the steps of firstly calculating a target tracking azimuth window according to the limitation of the deflection scanning range of a rotating phased array radar beam, converting the tracking azimuth window into a tracking generalized time window according to the rotating speed of an antenna, arranging the beam by using the generalized time window, determining the target tracking execution time after arranging, externally deducing the azimuth and the elevation of the target at the tracking execution time according to the state information of the target, and taking the azimuth and the elevation as the tracking task execution angle.

The method comprises the following specific steps:

s1: calculating a tracking azimuth window of the target according to the limitation of the beam deflection scanning of the rotary phased array radar; the maximum azimuth sweep angle of the phased array radar is

When the target is at the azimuth position psi, the antenna array is at the azimuthI.e., the tracked azimuth window Azi _ window has a size:

s2: converting a generalized tracking time window t _ window of target tracking according to the rotating speed of the antenna; the rotation period of the antenna is T, and the time when the antenna rotates through the target azimuth window is the generalized tracking time window:

s3: receiving a tracking request provided by data processing, and calculating a time window of the request: the tracking request comprises parameters of a target batch number, a position under a target geodetic coordinate system, an azimuth elevation distance under the target geodetic coordinate system, a task expected execution time t _ hope and a task priority; the time window is [ t _ hope-0.5 t _ window, t _ hope +0.5 t _ window ];

s4: arranging tasks according to the expected execution time of the tasks and the generalized tracking time window calculated in the step S2; putting tasks which are not laid back to a task linked list, and determining the execution time t _ excute of the tasks;

s5: extrapolating the target position at the task execution time according to the state of the target:

first, the position (x, y, z) of the target at the time of extrapolation in a rectangular coordinate system is calculated:

x＝x_0+v_x*(t_excute-t_hope)；

y＝y_0+v_y*(t_excute-t_hope)；

z＝z_0+v_z*(t_excute-t_hope)；

converting the position under the rectangular coordinate system into the distance, the elevation angle and the azimuth under the measuring coordinate system: (r, β, θ)

S6: and sending the position (r, beta, theta) calculated in the step 5 and the t _ excute calculated in the step 4 to the wave control as the task execution time and position.

Further, the arranging method in step S4 includes: when the scheduling interval comes, the tasks with the time windows falling in the scheduling interval are taken out, the tasks are scheduled according to the priority, and the tasks which are not scheduled are put back to the task chain table.

The invention provides a scheduling method of a generalized time window aiming at high-speed high-mobility target tracking, and compared with the traditional smaller time window, the scheduling method of the generalized time window has the advantages of simple structure, clear logic, easy engineering realization and capability of greatly improving the success rate of task scheduling.

Drawings

Fig. 1 is a flowchart of a generalized time window based tracking beam arrangement of a rotating phased array radar.

Detailed Description

The invention is described in further detail below with reference to the figures and examples.

The invention provides a generalized time window-based method for arranging tracking beams of a rotary phased array radar, which comprises the following implementation process embodiments:

1. and (3) carrying out sector division on the alert area: suppose 0-360 equally divided into 10 sectors (2 scheduling intervals per sector), 36 per sector. When the expected transmission time of the search task is set, the long-range search is placed in the normal direction of the antenna, the beam gain is maximum at the moment, the radar power can be ensured, and the short-range search and tracking can be arranged at the angle of the beam deviating from the normal direction.

2. Calculating an orientation window of target tracking:

the maximum azimuth sweep angle of the phased array radar isThe target is at the azimuth position psi, thenArray of antennas in azimuth

I.e., the tracked azimuth window Azi _ window has a size:

if the phased array is swept at an angle of 45, the tracking window size is 90 degrees.

3. Calculating the size of a generalized time window t _ window tracked by the target;

the rotation period of the antenna is T, and the time when the antenna rotates through the target azimuth window is the generalized tracking time window:

if the rotation period of the antenna is 1 second, the generalized time window for target tracking is 250 ms. Much larger than the size of the time window disclosed in the literature.

4. Receiving a tracking request provided by data processing, and calculating a time window of the request:

the trace request includes the following parameters: target batch number, position under a target geodetic coordinate system, azimuth and elevation distances under the target geodetic coordinate system, task expected execution time t _ hope, task priority and the like.

The time window is [ t _ hope-125, t _ hope +125]

5. And (3) scheduling the tasks according to the expected execution time of the tasks and the time window calculated in the step (2), wherein the scheduling method comprises the steps of taking out the tasks of which the time windows fall in the scheduling interval when the scheduling interval comes, scheduling according to the priority, and returning the tasks which are not scheduled to the task chain table. Determining the execution time t _ excute of the task;

first, the position (x, y, z) of the target at the time of extrapolation in a rectangular coordinate system is calculated:

x＝x_0+v_x*(t_excute-t_hope)

y＝y_0+v_y*(t_excute-t_hope)

z＝z_0+v_z*(t_excute-t_hope)

converting the position in the rectangular coordinate system into distance, elevation angle and azimuth (r, beta, theta) in the measuring coordinate system

6. And sending the position (r, beta, theta) calculated in the step 5 and the t _ excute calculated in the step 4 to the wave control as the task execution time and position.