研究目的
To investigate the delay-Doppler estimation problem for pulse-Doppler radar using one-bit sampling and quantization, aiming to develop an efficient algorithm for accurate parameter estimation without relying on grid discretization techniques.
研究成果
The proposed OBAST method effectively estimates delay-Doppler parameters from one-bit sampled radar signals without grid discretization, outperforming OBSSR in accuracy and computational efficiency. It demonstrates significant performance improvements, especially at higher SNRs, and shows robustness with increased sampling rates. Future work could focus on extending the method to more complex scenarios and real-world applications.
研究不足
The study is based on simulations and does not address real-world implementation challenges such as hardware limitations, noise variations, or computational complexity in practical systems. The method assumes ideal conditions like stop-and-hop targets and unambiguous time-frequency regions, which may not hold in all scenarios.
1：Experimental Design and Method Selection:
The study uses a multichannel one-bit sampling scheme to sample and quantize radar echo signals. The delay-Doppler estimation is formulated as a structured low-rank matrix recovery problem, and the one-bit atomic norm soft-thresholding (OBAST) method is proposed to solve it. This involves designing a surrogate matrix to evaluate data proximity and using atomic norm minimization for recovery.
2：Sample Selection and Data Sources:
Simulated radar echo signals are generated for K non-fluctuating point targets with random delays and Doppler frequencies in an unambiguous region. Parameters include LFM signal with bandwidth 6.4MHz, pulsewidth 5μs, PRI T=10μs, L=30 pulses, and K=4 targets.
3：4MHz, pulsewidth 5μs, PRI T=10μs, L=30 pulses, and K=4 targets.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: No specific physical equipment is mentioned; simulations are performed using software tools like the CVX toolbox for solving optimization problems.
4：Experimental Procedures and Operational Workflow:
Signals are modulated with weighted sums of complex sinusoids, integrated over intervals, and quantized to one-bit measurements. The OBAST method is applied to recover the low-rank matrix, followed by Vandermonde decomposition to estimate delays and Doppler frequencies. Performance is compared with a one-bit sparse signal recovery (OBSSR) method using discrete dictionaries.
5：Data Analysis Methods:
Numerical experiments evaluate estimation performance using relative root mean square error (RRMS) normalized to the Nyquist bin. Running times are averaged over 200 trials. Results are analyzed for various SNR values and sampling rates (M=64 and M=128 channels).
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
