An Inter-Subband Processing Algorithm for Complex Clutter Suppression in Passive Bistatic Radar
Abstract
:1. Introduction
2. Signal Model and Problem Analysis
2.1. Signal Model
2.2. PBR Target Detection
3. ECA and ECA-B Analysis
3.1. ECA Analysis
3.2. ECA-B Analysis
4. Complex Clutter Suppression via ECA-FB and ECA-FBD
4.1. ECA-FB
4.2. ECA-FBD
Algorithm 1. The main processes of the proposed methods | |
1 | Input: Original surveillance signal s(t) and reference signal r(t), subbands number L, LD and Doppler extension number F. |
2 | Discrete Fourier transform: Apply DFT on s(t) and r(t) to obtain S(g) and R(g), respectively. |
3 | Subband division: Divide the signal S[g] and R[g] into L fragments with bandwidth BL. |
4 | Stationary clutter suppression: Go through each l in [1, L] to conduct ECA operation. |
5 | For l = 1, ⋯ , L do |
6 | Construct the one-dimensional clutter subspace via (24). |
7 | Estimate the clutter coefficient . |
8 | Subtract the stationary clutter component to obtain the clutter suppressed signal Ssur-l. |
9 | end |
10 | Subband synthesis: Recombine the subband signal to achieve Ssur. |
11 | Subband redivision: Redivide the signal Ssur and R into LD fragments. |
12 | Time-varying clutter suppression: Go through each l in [1, LD] to conduct ECA operation. |
14 | For l = 1, ⋯ , LD do |
15 | Construct the clutter subspace via (26)–(28). |
16 | Subtract the time-varying clutter component. |
17 | end |
18 | Output: Recombine the subband signal after removing time-varying clutter and then output it for coherent integration. |
5. Performance Analysis and Some Remarks
5.1. Computational Complexity
5.2. Some Remarks
6. Simulation Results
6.1. Stationary Clutter Scenario
6.2. Time-Varying Clutter Scenario
7. Experimental Results
7.1. Experimental Results for the DTMB-Based PBR
7.2. Experimental Results for the FM-Based PBR
8. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Methods | Number of Mcs |
---|---|
ECA-FB | Nlog2(N) + (3NL + 1)L |
ECA-FBD | LD[3ND(1 + log2(ND)) + F2((1 + log2(F)))] |
ECA | 3N(1 + log2(N)) + K2(1 + log2(K)) |
ECA-B | LB[3NB(1 + log2(NB)) + K2((1 + log2(K)))] |
Description | Parameter | Value |
---|---|---|
total subcarriers | - | 3780 |
carrier frequency | fc | 666 MHz |
sample frequency | fs | 8 MHz |
carrier spacing | ∆f | 2 kHz |
bandwidth | B | 7.56 MHz |
frame header mode | - | 1 |
CPI | T | 0.5 s |
Motion Parameters | Target A | Target B | Stationary Clutter | Time-Varying Clutter | |
---|---|---|---|---|---|
Integer Order | Fractional Order | ||||
range bins | 90 | 40 | 0:1:50 | 0.5:1:10.5 | 0:1:10 |
Doppler (Hz) | 100 | −20 | 0 | 0 | −10:2:10 |
CNR/SNR (dB) | −39 | −34 | 40:−1:−10 | 25:−2:5 | 10:−1:0 |
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Zuo, L.; Wang, J.; Sui, J.; Li, N. An Inter-Subband Processing Algorithm for Complex Clutter Suppression in Passive Bistatic Radar. Remote Sens. 2021, 13, 4954. https://doi.org/10.3390/rs13234954
Zuo L, Wang J, Sui J, Li N. An Inter-Subband Processing Algorithm for Complex Clutter Suppression in Passive Bistatic Radar. Remote Sensing. 2021; 13(23):4954. https://doi.org/10.3390/rs13234954
Chicago/Turabian StyleZuo, Luo, Jun Wang, Jinxin Sui, and Nan Li. 2021. "An Inter-Subband Processing Algorithm for Complex Clutter Suppression in Passive Bistatic Radar" Remote Sensing 13, no. 23: 4954. https://doi.org/10.3390/rs13234954