146 lines
4.8 KiB
Python
146 lines
4.8 KiB
Python
"""Cross-check the ApsisRS link budget against the link equation.
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Reads the scenarios written by ``cargo run -p apsis-rs --features rf
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--example dump_link`` and recomputes each figure from the link equation in
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plain Python, then reports the largest difference in each column.
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The reference here is the link equation itself rather than a library, because
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the equation is closed form and short enough to transcribe without
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ambiguity. The constants are taken from the 2019 SI definitions, so they
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match the values the Rust side uses.
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The script needs no network access.
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Usage:
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pixi run python validation/python/link/check_link.py [path]
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Exit status is zero when every figure agrees within tolerance and one
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otherwise.
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用链路方程交叉核对 ApsisRS 的链路预算。
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读取由 ``cargo run -p apsis-rs --features rf --example dump_link`` 写出的
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场景，并用纯 Python 从链路方程逐个重算每个数字，然后报告每列的最大差异。
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此处的参考是链路方程本身而非某个库，因为该方程是闭式的且短到可以无歧义地
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抄录。各常量取自 2019 年 SI 定义，故与 Rust 侧所用的值一致。
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本脚本不需要网络访问。
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用法：
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pixi run python validation/python/link/check_link.py [path]
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每个数字都在容差内一致时退出状态为零，否则为一。
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"""
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from __future__ import annotations
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import csv
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import math
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import sys
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from pathlib import Path
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# Defining constants, exact in the SI.
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# 定义常量，在 SI 中精确。
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BOLTZMANN = 1.380649e-23
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SPEED_OF_LIGHT = 299792458.0
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# Tolerance in decibels. The two sides evaluate the same expressions with
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# double precision, so the only difference should be rounding.
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# 容差，单位为分贝。两侧以双精度求相同表达式，故唯一差异应是舍入。
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TOLERANCE_DB = 1e-9
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DEFAULT_INPUT = Path("validation/data/expected/rust_link.csv")
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def read_rows(path: Path) -> list[dict[str, str]]:
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"""Reads the CSV rows.
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读取 CSV 各行。
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"""
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with path.open(newline="") as handle:
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reader = csv.DictReader(handle)
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return [row for row in reader if row.get("transmit_dbw")]
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def reference(row: dict[str, str]) -> dict[str, float]:
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"""Recomputes a budget from the link equation.
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由链路方程重算一份预算。
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"""
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transmit_dbw = float(row["transmit_dbw"])
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transmit_dbi = float(row["transmit_dbi"])
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transmit_loss = float(row["transmit_loss_db"])
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receive_dbi = float(row["receive_dbi"])
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receive_loss = float(row["receive_loss_db"])
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temperature = float(row["temperature_k"])
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bandwidth = float(row["bandwidth_hz"])
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distance = float(row["distance_m"])
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frequency = float(row["frequency_hz"])
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eirp_dbw = transmit_dbw + transmit_dbi - transmit_loss
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wavelength = SPEED_OF_LIGHT / frequency
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path_loss_db = 20.0 * math.log10(4.0 * math.pi * distance / wavelength)
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carrier_dbw = eirp_dbw - path_loss_db + receive_dbi - receive_loss
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noise_density_dbw = 10.0 * math.log10(BOLTZMANN * temperature)
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cn0_db = carrier_dbw - noise_density_dbw
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cn_db = cn0_db - 10.0 * math.log10(bandwidth)
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# The example reports the energy per bit ratio at a data rate equal to
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# the bandwidth.
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# 示例在数据速率等于带宽时报告每比特能量比。
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ebn0_db = cn0_db - 10.0 * math.log10(bandwidth)
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return {
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"eirp_dbw": eirp_dbw,
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"carrier_dbw": carrier_dbw,
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"cn0_db": cn0_db,
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"cn_db": cn_db,
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"ebn0_db": ebn0_db,
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}
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def main(argv: list[str]) -> int:
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path = Path(argv[1]) if len(argv) > 1 else DEFAULT_INPUT
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if not path.exists():
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print(f"missing input file: {path}", file=sys.stderr)
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print(
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"generate it with: cargo run -p apsis-rs --features rf "
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"--example dump_link > " + str(path),
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file=sys.stderr,
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)
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return 2
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rows = read_rows(path)
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if not rows:
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print("input file has no data rows", file=sys.stderr)
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return 2
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columns = ["eirp_dbw", "carrier_dbw", "cn0_db", "cn_db", "ebn0_db"]
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worst = {column: 0.0 for column in columns}
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worst_at = {column: None for column in columns}
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for row in rows:
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expected = reference(row)
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for column in columns:
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difference = abs(float(row[column]) - expected[column])
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if difference > worst[column]:
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worst[column] = difference
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worst_at[column] = row["distance_m"]
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print(f"scenarios compared: {len(rows)}")
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for column in columns:
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print(f"{column:>12}: worst {worst[column]:.3e} dB at distance {worst_at[column]} m")
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print(f"{'tolerance':>12}: {TOLERANCE_DB:.3e} dB")
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if all(value <= TOLERANCE_DB for value in worst.values()):
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print("result: pass")
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return 0
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print("result: FAIL")
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return 1
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if __name__ == "__main__":
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raise SystemExit(main(sys.argv))
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