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更新 generate_radar_data.py

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xiaotaiyang
2025-12-05 03:16:29 +00:00
parent 584e25669a
commit bc74e259df
1 changed files with 53 additions and 77 deletions
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generate_radar_data.py
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import random import random
import csv
def generate_comparison_data(num_points=10): import math
# ================= 1. 初始状态与运动趋势 (真值配置) =================
# 距离 (km): 模拟目标从 12.5km 处靠近 (参考文件中远距离测试) def generate_radar_test_data(filename="Radar_Accuracy_Test_Data.csv"):
start_dist = 12.500 # ================= 1. 项目参数配置 (依据QDGZ雷达报告) =================
dist_speed = -0.020 # 负数表示靠近 (每点移动20米) # 依据报告 [Source 52] [Source 59]
# 精度测试要求：距离 1km~3km 范围内
# 方位 (度): 模拟目标在 145度 方向缓慢右移 # 精度指标：方位 <= 0.6°, 俯仰 <= 0.6°, 距离 <= 10m
start_az = 145.20
az_speed = 0.05 # 缓慢变化 # --- 初始真值设定 ---
# 模拟目标：无人机 (RCS 0.01m2)
# 俯仰 (度): 模拟低空飞行，角度很小 start_dist_km = 2.500 # 起始距离 2.5km (符合1-3km测试区间)
start_el = 0.45 # 速度：模拟 V ≈ 10m/s (0.01 km/s)
el_speed = 0.002 # 几乎平飞 speed_km_s = -0.010 # 负数表示靠近雷达
time_interval_s = 2.0 # 两次采样间隔 (模拟数据率)
# ================= 2. 雷达测量误差 (噪声配置) =================
# 参考依据：文件中的RMS指标 (方位<=0.3度, 距离<=15m) start_az = 45.50 # 初始方位
# 这里的 sigma 是标准差，决定了测量值的抖动幅度 az_rate = 0.05 # 方位角变化率 (度/次)
sigma_az = 0.12 # 方位抖动 (度)
sigma_el = 0.15 # 俯仰抖动 (度) start_el = 2.50 # 初始俯仰 (低空目标)
sigma_dist = 0.008 # 距离抖动 (km), 0.008km = 8米 el_rate = 0.01 # 俯仰角变化率
# ================= 生成逻辑 ================= num_points = 10 # 对应表A.3的10组数据
# 容器 # --- 传感器噪声设定 (Standard Deviation) ---
truth_az, truth_el, truth_dist = [], [], [] # 为了满足 RMS 指标，标准差通常设为指标的 1/2 到 1/3 左右
meas_az, meas_el, meas_dist = [], [], [] # 距离精度指标 10m -> 设定噪声 std ≈ 4m (0.004km)
sigma_dist_km = 0.004
current_d = start_dist # 角度精度指标 0.6° -> 设定噪声 std ≈ 0.2°
current_a = start_az sigma_angle = 0.2
current_e = start_el
# ================= 2. 数据生成逻辑 =================
for _ in range(num_points): data_rows = []
# --- A. 生成真值 (平滑运动 + 极微小物理抖动) ---
t_d = current_d + random.gauss(0, 0.001) # 用于事后计算RMS以验证数据是否合格
t_a = current_a + random.gauss(0, 0.01) sq_err_dist = 0
t_e = current_e + random.gauss(0, 0.005) sq_err_az = 0
sq_err_el = 0
# 存入真值列表 (保留格式)
truth_dist.append(f"{t_d:.3f}") current_d = start_dist_km
truth_az.append(f"{t_a:.2f}") current_a = start_az
truth_el.append(f"{t_e:.2f}") current_e = start_el
# --- B. 生成测量值 (真值 + 传感器噪声) --- for i in range(1, num_points + 1):
m_d = t_d + random.gauss(0, sigma_dist) # --- A. 生成真值 (平滑运动轨迹) ---
m_a = t_a + random.gauss(0, sigma_az) # 加入极微小的物理抖动(模拟真实飞行的不绝对平滑)
m_e = t_e + random.gauss(0, sigma_el) t_d = current_d + random.gauss(0, 0.0005)
t_a = current_a + random.gauss(0, 0.005)
# 存入测量值列表 t_e = current_e + random.gauss(0, 0.005)
meas_dist.append(f"{m_d:.3f}")
meas_az.append(f"{m_a:.2f}") # --- B. 生成雷达测量值 (真值 + 传感器高斯噪声) ---
meas_el.append(f"{m_e:.2f}") m_d = t_d + random.gauss(0, sigma_dist_km)
# 更新下一步的基准位置
current_d += dist_speed
current_a += az_speed
current_e += el_speed
# ================= 3. 格式化输出 (方便复制) =================
print("\n" + "="*40)
print("【第一部分：真值数据 (Truth)】")
print("="*40)
print("方位(°)\t" + "\t".join(truth_az))
print("俯仰(°)\t" + "\t".join(truth_el))
print("距离(km)\t" + "\t".join(truth_dist))
print("\n" + "="*40)
print("【第二部分：测量结果 (Measured)】")
print("="*40)
print("方位(°)\t" + "\t".join(meas_az))
print("俯仰(°)\t" + "\t".join(meas_el))
print("距离(km)\t" + "\t".join(meas_dist))
print("="*40 + "\n")
if __name__ == "__main__":
generate_comparison_data()