| /* |
| * Copyright 2016 The WebRTC Project Authors. All rights reserved. |
| * |
| * Use of this source code is governed by a BSD-style license |
| * that can be found in the LICENSE file in the root of the source |
| * tree. An additional intellectual property rights grant can be found |
| * in the file PATENTS. All contributing project authors may |
| * be found in the AUTHORS file in the root of the source tree. |
| */ |
| |
| #include <math.h> |
| |
| #include <algorithm> |
| |
| #include "webrtc/base/gunit.h" |
| #include "webrtc/base/random.h" |
| #include "webrtc/base/timestampaligner.h" |
| |
| namespace rtc { |
| |
| namespace { |
| // Computes the difference x_k - mean(x), when x_k is the linear sequence x_k = |
| // k, and the "mean" is plain mean for the first |window_size| samples, followed |
| // by exponential averaging with weight 1 / |window_size| for each new sample. |
| // This is needed to predict the effect of camera clock drift on the timestamp |
| // translation. See the comment on TimestampAligner::UpdateOffset for more |
| // context. |
| double MeanTimeDifference(int nsamples, int window_size) { |
| if (nsamples <= window_size) { |
| // Plain averaging. |
| return nsamples / 2.0; |
| } else { |
| // Exponential convergence towards |
| // interval_error * (window_size - 1) |
| double alpha = 1.0 - 1.0 / window_size; |
| |
| return ((window_size - 1) - |
| (window_size / 2.0 - 1) * pow(alpha, nsamples - window_size)); |
| } |
| } |
| |
| } // Anonymous namespace |
| |
| class TimestampAlignerTest : public testing::Test { |
| protected: |
| void TestTimestampFilter(double rel_freq_error) { |
| const int64_t kEpoch = 10000; |
| const int64_t kJitterUs = 5000; |
| const int64_t kIntervalUs = 33333; // 30 FPS |
| const int kWindowSize = 100; |
| const int kNumFrames = 3 * kWindowSize; |
| |
| int64_t interval_error_us = kIntervalUs * rel_freq_error; |
| int64_t system_start_us = rtc::TimeMicros(); |
| webrtc::Random random(17); |
| |
| int64_t prev_translated_time_us = system_start_us; |
| |
| for (int i = 0; i < kNumFrames; i++) { |
| // Camera time subject to drift. |
| int64_t camera_time_us = kEpoch + i * (kIntervalUs + interval_error_us); |
| int64_t system_time_us = system_start_us + i * kIntervalUs; |
| // And system time readings are subject to jitter. |
| int64_t system_measured_us = system_time_us + random.Rand(kJitterUs); |
| |
| int64_t offset_us = |
| timestamp_aligner_.UpdateOffset(camera_time_us, system_measured_us); |
| |
| int64_t filtered_time_us = camera_time_us + offset_us; |
| int64_t translated_time_us = timestamp_aligner_.ClipTimestamp( |
| filtered_time_us, system_measured_us); |
| |
| EXPECT_LE(translated_time_us, system_measured_us); |
| EXPECT_GE(translated_time_us, prev_translated_time_us); |
| |
| // The relative frequency error contributes to the expected error |
| // by a factor which is the difference between the current time |
| // and the average of earlier sample times. |
| int64_t expected_error_us = |
| kJitterUs / 2 + |
| rel_freq_error * kIntervalUs * MeanTimeDifference(i, kWindowSize); |
| |
| int64_t bias_us = filtered_time_us - translated_time_us; |
| EXPECT_GE(bias_us, 0); |
| |
| if (i == 0) { |
| EXPECT_EQ(translated_time_us, system_measured_us); |
| } else { |
| EXPECT_NEAR(filtered_time_us, system_time_us + expected_error_us, |
| 2.0 * kJitterUs / sqrt(std::max(i, kWindowSize))); |
| } |
| // If the camera clock runs too fast (rel_freq_error > 0.0), The |
| // bias is expected to roughly cancel the expected error from the |
| // clock drift, as this grows. Otherwise, it reflects the |
| // measurement noise. The tolerances here were selected after some |
| // trial and error. |
| if (i < 10 || rel_freq_error <= 0.0) { |
| EXPECT_LE(bias_us, 3000); |
| } else { |
| EXPECT_NEAR(bias_us, expected_error_us, 1500); |
| } |
| prev_translated_time_us = translated_time_us; |
| } |
| } |
| |
| private: |
| TimestampAligner timestamp_aligner_; |
| }; |
| |
| TEST_F(TimestampAlignerTest, AttenuateTimestampJitterNoDrift) { |
| TestTimestampFilter(0.0); |
| } |
| |
| // 100 ppm is a worst case for a reasonable crystal. |
| TEST_F(TimestampAlignerTest, AttenuateTimestampJitterSmallPosDrift) { |
| TestTimestampFilter(0.0001); |
| } |
| |
| TEST_F(TimestampAlignerTest, AttenuateTimestampJitterSmallNegDrift) { |
| TestTimestampFilter(-0.0001); |
| } |
| |
| // 3000 ppm, 3 ms / s, is the worst observed drift, see |
| // https://bugs.chromium.org/p/webrtc/issues/detail?id=5456 |
| TEST_F(TimestampAlignerTest, AttenuateTimestampJitterLargePosDrift) { |
| TestTimestampFilter(0.003); |
| } |
| |
| TEST_F(TimestampAlignerTest, AttenuateTimestampJitterLargeNegDrift) { |
| TestTimestampFilter(-0.003); |
| } |
| |
| } // namespace rtc |